The Product-Minded Engineer
In the fast-paced world of software engineering, developing technical skills often takes precedence. However, if you're seeking career advancement, enhancing your technical skills alone is not enough; you also need to deepen your empathy for users--a skill frequently overlooked in traditional engineering roles. Understanding user needs and the broader impact of your work will not only lead to better products but will also help your career grow and flourish. Drawing on over 20 years of experience, including in roles at Microsoft, Facebook, and Stripe, author Drew Hoskins guides you through the essential strategies to bridge the gap between engineering prowess and product insight. Whether you're building consumer products, tools for professionals, or internal platforms, this book is your gateway to becoming a well-rounded engineer who anticipates and innovates according to user needs. By the end of this book, you will learn to: Simulate and predict user interactions to enhance product usability Sharpen your focus on the specific needs of your target audience Engage with users effectively to gather impactful feedback Integrate product thinking seamlessly into your technical tasks Design features that minimize user issues and maximize benefits
Software Architecture and Design
Get to know the tools of the software trade! Understand the fundamentals of good software design and development, from object-oriented principles to clean code guidelines. Once you have a solid foundation, get your hands dirty with sample programs that use software architecture and design patterns like MVC, factory, chain of responsibility, adapter, and many more. Every program will walk you step by step through a problem, its context, its solution, and relevant limitations. With information on creating good documentation and implementing best practices, this comprehensive guide will improve your applications!Highlights include: 1) Object-oriented programming2) Clean code3) Design patterns4) Software design principles5) Application organization6) Creation patterns 7) Structural patterns8) Behavioral patterns9) Data patterns10) System architecture patterns11) Cloud-native patterns12) Documentation
Vibe Coding
GenAI is fundamentally changing the world of software development like nothing since the internet. Vibe Coding is a first-of-its-kind, groundbreaking book that shows developers how to embrace this new frontier. Science fiction is now reality. Programmers no longer need to toil over code and syntax. They can now describe what they want and watch it materialize instantly. Welcome to the future--Vibe Coding. In this groundbreaking book, industry veterans Steve Yegge (Google, Amazon, Sourcegraph) and WSJ bestselling author Gene Kim (The Phoenix Project and The DevOps Handbook) reveal how vibe coding is transforming software development as we know it. By leveraging the power of AI assistance--where intent and flow matter more than syntax--developers can achieve unprecedented levels of productivity, creativity, and joy. Drawing from decades of combined experience in software engineering and developer productivity, Yegge and Kim demonstrate how Vibe Coding enables developers to: Transform complex programming challenges into fluid conversations with GenAI. Build more ambitious projects faster while maintaining code quality you can be proud of. Achieve incredible things yourself that otherwise would require a team. Master the art of co-creating with your AI companion. Break free from traditional programming constraints such as syntax and setup. Build confidently in multiple programming languages and frameworks you've never used before. But this isn't just about coding faster--it's about fundamentally changing how we approach software development. The authors share practical strategies for implementing GenAI-powered development in real-world scenarios, from small projects to enterprise-scale applications, while maintaining the engineering excellence that modern systems demand. Whether you're a seasoned developer looking to stay ahead of the AI revolution, a technical leader guiding your team through this transformation, a former coder returning after a break, or someone just starting their career, this handbook provides the roadmap you need to thrive in the new era of software development. Don't get left behind in the biggest transformation our industry has seen since the internet revolution. Learn how to harness the power of vibe coding and unlock your full potential as a developer.
Intelligent Inclusion
Intelligent Inclusion: Designing Accessible Futures with AI explores how artificial intelligence can revolutionize accessibility and create more inclusive environments for people with disabilities. This book delves into the intersection of cutting-edge AI technologies and human-centered design principles to develop solutions that break down barriers in education, communication, and daily living.Focusing on practical applications like Indian Sign Language recognition and assistive tools, the book offers a deep dive into the challenges and opportunities of designing AI systems that truly serve diverse user needs. It also highlights ethical considerations and the importance of responsible AI development.Ideal for technologists, educators, policymakers, and advocates, this book is a call to action to harness AI's potential to build a future where technology empowers everyone, leaving no one behind.
The River and the Mountain
A Step-by-Step Guide to Finishing Your First Project as a Solo DeveloperPerfect for developers of all experience levels!Whether you're a beginner or seasoned software developer, this book provides a comprehensive and optimized workflow to guide you from project planning to final release. Discover the pros and cons of solo development and learn how to overcome challenges with a clear and concise step-by-step approach."The River and the Mountain" is a philosophical journey about learning to follow your own path, filled with practical advice to help you achieve your goals and reach new heights.You will learn: ✅ A simplified and optimized workflow for solo development✅ How to overcome common challenges and stay motivated✅ How to bring your ideas to life!Order now and start your journey to success!
Model-Based Software and Systems Engineering
This volume constitutes the revised selected papers of 12th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2024, in Rome, Italy, during February 21-23, 2024. The 7 full papers and 6 short papers included in this book were carefully reviewed and selected from 47 submissions. The papers are categorized under the topical sections as follows: Methodologies, Processes and Platforms; Modeling Languages, Tools and Architectures.
Ultimate .NET MAUI Projects
Build Stunning Cross-Platform Apps with the Power of C# and .NET MAUI. Book DescriptionAs the need for unified mobile and desktop applications continues to rise, .NET MAUI offers a modern, efficient solution-enabling developers to create native apps for Android, iOS, Windows, and macOS using a single codebase in C# and XAML. Ultimate .NET MAUI Projects is your comprehensive, hands-on guide to mastering this powerful framework, and building production-ready, cross-platform applications. This book walks you through the complete development lifecycle-from foundational concepts to advanced techniques. You will also learn how to design responsive UIs with XAML, implement clean architecture using the MVVM pattern, integrate local data storage with SQLite, and connect to external APIs for dynamic content. Additionally, you will explore performance tuning, deployment practices, testing on emulators and real devices. Through guided, real-world projects including a feature-rich E-Commerce app, a robust ERP system, an interactive educational platform, and a dynamic social media interface, you will gain the skills and confidence to build scalable and maintainable applications that work seamlessly across platforms. Hence, whether you are a developer breaking into cross-platform development or a seasoned pro refining your mobile strategy, Ultimate .NET MAUI Projects is your essential resource for building with impact. Table of Contents1. Getting to know .NET MAUI2. Main Features of .NET MAUI3. Getting Started with .NET MAUI4. Design Patterns in .NET MAUI5. Using Blazor Components in .NET MAUI6. Internal DB and API Connection7. Best Practices in .NET MAUI8. Building an E-Commerce App9. Building an ERP App10. Building a Social Media App11. Building an Education App Index
Practical Business Process Modeling and Analysis
Learn practical techniques from leading AI and business process experts to streamline operations, drive digital transformation, and accelerate your career growthKey Features: - Navigate common challenges in digital transformation to ensure seamless process adoption across teams- Master BPMN, process modeling, and automation launch strategies to streamline workflows and boost efficiency- Work with practical frameworks to align business processes with strategic long-term growth- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Every business transformation begins with one question, "How can we do this better?" Whether it's eliminating inefficiencies, optimizing business operations, or reimagining entire workflows with the help of AI, success depends on understanding and optimizing business processes. However, finding the right approach can be challenging with shifting market demands and evolving technologies.In this book, three seasoned experts in BPM, automation, and AI-driven process optimization guide you through frameworks, techniques, and tools that drive digital transformation by helping you explore business process modelling, before and after process execution. You'll visualize complex workflows, establish scalable process architectures that drive digital transformation, and integrate automation for efficiency. With insights into BPMN, business value analysis, and field-tested consulting guidance, you'll see how process-led design and data-driven decisions can lead to smarter, more agile operations. Through real-world examples, you'll grasp how leading organizations have optimized their processes and how you can apply the same principles in your digital change program.By the end of this book, you'll be able to identify, design, analyze, and transform business processes for measurable impact, as well as master the synergy of technology, process, and strategy to build systems that drive sustainable growth.What You Will Learn: - Explore the role of business process in digital transformation- Build scalable process architectures for long-term efficiency and adaptability- Find out how to avoid common pitfalls in digital transformation and automation programs- Apply real-world strategies and frameworks to optimize operations effectively- Discover methods and tools to enhance business process analysis and decision-making- See how the BPMN can be extended for scenarios like process simulation and risk management- Measure and maximize business value from process transformation effortsWho this book is for: This book is ideal for business analysts, process improvement practitioners, project managers, consultants, operations managers, and IT leaders involved in process design, streamlining workflows, and integrating AI and automation. No prior experience with BPMN or automation is needed, though familiarity with business processes will be helpful.Table of Contents- Winning at Digital Transformation with Process Modeling- Pillars of a Successful Digital Transformation- The Wheel of BPM Driving Your Competitive Advantage- Long-Term Trends and the Impact on Your Job- Business Process 101- Establishing Process Architecture- Process Modeling Notations - BPMN - What You Need to Know- Advanced BPMN- Measuring the Business Value of Process Transformation - A Few Final Thoughts
Vector Calculus
This unique compendium deals with the differentiation and integration of vector functions. It examines critical effects and extracts important features using powerful tools of differentiation and integration. Techniques and codes for computing the divergence, curl, and gradients of a given field function, which reveal the mathematical behavior of the vector field, are discussed. Green's theorem, Stokes's theorem, and Gauss's formula, along with their novel extensions, are presented in detail with applications such as the smoothed gradient method.Written in Jupyter notebook format, the book offers a unified environment for theory description, code execution, and real-time interaction, making it ideal for reading, practicing, and further exploration.
Software Engineering and Formal Methods. Sefm 2024 Collocated Workshops
This volume constitutes the papers of two workshops which were held in conjunction with the 22nd International Workshop on Software Engineering and Formal Methods, SEFM 2024 Collocated Workshops, held in Aveiro, Portugal, during November 4-5, 2024. The 20 full papers presented in this book were carefully reviewed and selected from 36 submissions. SEFM 2024 Collocated Workshops presents the following two workshops: ReacTS 2024: International Workshop on Reconfigurable Transition Systems: Semantics, Logics and Applications. CIFMA 2024: 6th International Workshop on Cognition: Interdisciplinary Foundations, Models and Applications.
Introduction to .NET Aspire
.NET Aspire is a revolutionary stack created for building cloud-native microservices. It emerges as a game-changer, offering a streamlined, opinionated approach to simplify orchestrating the .NET microservices and connecting them to cloud services with ease.The book explores the development of .NET Aspire, its core concepts, and a powerful manifest for defining the application's structure and integrations. With this foundation, you will explore practical patterns for seamlessly incorporating polyglot microservices, covering languages like Go, Python, and Node.js. You will gain hands-on experience in OpenTelemetry monitoring, Azure Developer CLI, and Dapr. You will also gain a deep understanding of unit testing practices and AI capabilities, including frameworks like TensorFlow and ML.NET, directly into your .NET Aspire solutions.By the end of this book, you will possess the practical skills and in-depth knowledge to design, build, deploy, and effectively manage sophisticated, production-ready cloud-native applications, empowering you to excel in the world of distributed systems.WHAT YOU WILL LEARN● Understand .NET Aspire fundamental and core architecture principles.● Build polyglot microservices using C#, Go, Python, and Node.js.● Deploy application using Azure Developer CLI.● Integrate Dapr for enhanced distributed application capabilities.● Build intelligent applications with LLM orchestration and Semantic Kernel.● Apply best practices for unit testing Aspire components.● Build resilient, observable, cloud-native .NET solutions.WHO THIS BOOK IS FORThis book is for .NET developers, cloud engineers, and software architects aiming to build modern cloud-native applications. Readers should have basic knowledge of .NET development and an understanding of web APIs and containerization concepts.
Microsoft Certified Azure Developer Associate (Az-204) Study Guide
Given the scalability, flexibility, and resilience that the cloud offers, technology companies around the world are transitioning to cloud computing. This paradigm shift has created an unprecedented demand for professionals equipped with the skills to design and implement cloud solutions. Today, one of the cloud platforms most often adopted is Microsoft Azure. The Microsoft Certified Azure Developer Associate Study Guide is your comprehensive resource for mastering the competencies required to design, develop, and deploy secure and scalable Azure architectures tailored to your organization's needs. Beyond its impact on your resume, this guide empowers you with the confidence to excel as a Microsoft Certified Azure Developer Associate. With this handy guide, you'll learn how to: Design optimal cloud architectures aligned with best practices Provision and oversee core infrastructure with a focus on security and compliance Optimize both technical and business processes Manage critical cloud resources essential for organizational success Ensure operational reliability and high availability The foundational skills in this guide will help you navigate through and excel in the Microsoft Certified Azure Developer Associate exam. The certification journey is challenging, but with the right insights, a well-structured study plan, and hands-on practice, you can position yourself for success.
Open Source and These United States
Over the past 40 years a collective form of systems development has evolved on the electronic networks of the world. In the wake of the information technology revolution has come a proven method for developing, deploying and maintaining these systems. This method, developed under the auspices of Department of Defense research grants, has resulted in the most successful and reliable software in existence. This method, based on collective intelligence, peer review and functional evolution, has rippled through the world of Information Technology. It depends on the uninhibited distribution of the currency of this realm: the source code, documentation and data which are the building blocks of these complex systems. The release of source code is commonly called open source licensing. The release of electronic information is known as open content licensing. Together, they comprise Open Licensing. There are significant gains to be realized through the formal adoption, support and use of open licensed systems by the Department of Defense. Secondary gains may be made in the morale and retention of Airmen involved in information technology. This adoption can take place at any point in the acquisition cycle and can even benefit deployed and operational systems. The benefits include reduced acquisition, development, maintenance and support costs and increased interoperability among our own systems and those of our Allies.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
The Convergence of Artificial Intelligence (Ai) and 6g Communication Networks: The Needs and Implications
Advances in Computers, Volume 139 focuses on the convergence of Artificial Intelligence (AI) and 6G communication networks, addressing key advancements and implications across various fields. It explores cybersecurity challenges in 5G networks, solutions for 5G performance evaluation, and the transition to 5G-Advanced. The role of AI in enhancing 6G network performance, resource allocation, and management is discussed alongside the technical foundations of 6G and its ability to power edge AI applications. The volume highlights how 6G will transform industries like logistics through automation and AI-driven decision-making, while also covering strategic management perspectives on AI-driven innovations. Sustainability is a key theme, with discussions on energy-efficient cloud and quantum data centers, as well as the integration of green innovations into AI-6G synergy. The metaverse and its reliance on 5G and 6G for immersive experiences are reviewed, alongside the revolutionary potential of quantum computing in 6G networks. The practical applications of AI, such as a CNN-based model for brain tumor detection using 5G edge cloud, and federated learning for 6G, demonstrate the technology's impact on healthcare and data privacy. Additionally, the volume delves into 6G's role in enabling next-generation metaverse systems and AI-powered telemedicine, while providing insights into the architecture, communication systems, and industrial use cases of 6G. It concludes by summarizing the advancements, advantages, and challenges of 6G, offering a comprehensive view of its future impact on global connectivity.
Data Rookies Labs Data Wrangling with R
Learn R by Doing. Data Wrangling with R is a hands-on workbook designed for beginners learning R through practical data cleaning and transformation. With over 20 structured labs, you'll tackle real-world tasks like filtering, sorting, formatting, handling missing data, reshaping datasets, and using packages like dplyr. Clear examples, built-in exercises, and both base R and Tidy verse approaches help you build core wrangling skills essential for any data analyst working in R.NOTE extensive teaching resources - code, exercises, slides are available from the publisher for self-study and course use.
Cobol Reengineering Using the Parameter Based Object Identification Methodology
This research focuses on how to reengineer Cobol legacy systems into object-oriented systems using Sward's Parameter Based Object Identification (PBOI) methodology. The method is based on relating categories of imperative subprograms to classes written in object-oriented language based on how parameters are handled and shared among them. The input language of PBOI is a canonical form called the generic imperative model (GIM), which is an abstract syntax tree (AST) representation of a simple imperative programming language. The output is another AST, the generic object model (GOM), a generic object oriented language. Conventional languages must be translated into the GIM to use PBOI. The first step in this research is to analyze and classify Cobol constructs. The second step is to develop Refine programs to perform the translation of Cobol programs into the GIM. The third step is to use the PBOI prototype system to transform the imperative model in the GIM into the GOM. The final step is to perform a validation of the objects extracted, analyze the system functionally, and evaluate the PBOI methodology in terms of the case study.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Tool-Based Integration and Code Generation of Object Models
Today many organizations are faced with multiple large legacy data stores in different formats and the need to use data from each data store with tools based on the other data stores' formats. This thesis presents a tool-based methodology for integrating object-oriented data models with automatic generation of code. The generated code defines a global data format, generates views of global data in individual integrated data formats, and parses data from individual formats to the global formats and from the global format to the individual formats. This allows for legacy data to be translated into the global format, and all future data to be entered in the global format. Once in the global format, the data may be exported to any of the integrated formats for use with the appropriate tools. The methodology is based on using formal methods and knowledge-based engineering techniques with a transformation system and object-oriented views. The methodology is demonstrated by a sample implementation of the integration tool being used to integrate data formats used by three different sensor-based, engagement-level simulation systems.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
An Evaluation of GeoBEST Contingency Beddown Planning Software Using the Technology Acceptance Model
GeoBEST (Base Engineer Survey Toolkit) is a software program built under contract with the USAF. It is designed to simplify the contingency beddown planning process through application of geographic information technology. The purpose of this thesis was to thoroughly evaluate GeoBEST using prospective GeoBEST users in a realistic beddown planning scenario. The Technology Acceptance Model (TAM) was applied, which measures a prospective user's perceptions of the technology's usefulness and ease-of- use and predicts their intentions to use the software in the future. The evaluation also included a qualitative evaluation of specific software features. The test group for this thesis was seventy-one Civil Engineering students attending contingency skills training at the Silver Flag training site, Tyndall AFB, FL. The students were given a one-hour interactive demonstration of GeoBEST after which they completed a survey. The students were given the option of using the program for preparation of their assigned beddown plan. Some Silver Flag instructors also completed a separate survey.The results from the TAM predict that the students were only slightly likely to use GeoBEST for beddown planning in the future. Throughout the course of the research, several features of GeoBEST were identified that limit the program's effectiveness. Some of these were minor irritants, while others were serious design flaws. Recommendations are made for implementation of GeoBEST and creation of training programs for prospective users.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
On Graph Isomorphism and the Pagerank Algorithm
Graphs express relationships among objects, such as the radio connectivity among nodes in unmanned vehicle swarms. Some applications may rank a swarm's nodes by their relative importance, for example, using the PageRank algorithm applied in certain search engines to order query responses. The PageRank values of the nodes correspond to a unique eigenvector that can be computed using the power method, an iterative technique based on matrix multiplication. The first result is a practical lower bound on the PageRank algorithm's execution time that is derived by applying assumptions to the PageRank perturbation's scaling value and the PageRank vector's required numerical precision. The second result establishes nodes contained in the same block of the graph's coarsest equitable partition must have equal PageRank values. The third result, the AverageRank algorithm, ensures such nodes are assigned equal PageRank values. The fourth result, the ProductRank algorithm, reduces the time needed to find the PageRank vector by eliminating certain dot products in the power method if the graph's coarsest equitable partition contains blocks composed of multiple vertices.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Generating Test Templates via Automated Theorem Proving
Testing can be used during the software development process to maintain fidelity between evolving specifications, program designs, and code implementations. We use a form of specification-based testing that employs the use of an automated theorem prover to generate test templates. A similar approach was developed using a model checker on state-intensive systems. This method applies to systems with functional rather than state-based behaviors. This approach allows for the use of incomplete specifications to aid in generation of tests for potential failure cases. We illustrate the technique on the cannonical triangle testing problem and discuss its use on analysis of a spacecraft scheduling system.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Evaluation of Personnel Parameters in Software Cost Estimating Models
Software capabilities have steadily increased over the last half century. The Department of Defense has seized this increased capability and used it to advance the warfighter's weapon systems. However, this dependence on software capabilities has come with enormous cost. The risks of software development must be understood to develop an accurate cost estimate. Department of Defense cost estimators traditionally depend on parametric models to develop an estimate for a software development project. Many commercial parametric software cost estimating models exist such as COCOMO II, SEER-SEM, SLIM, and PRICE S. COCOMO II is the only model that has open architecture. The open architecture allows the estimator to fully understand the impact each parameter has on the effort estimate in contrast with the closed architecture models that mask the quantitative value with a qualitative input to characterize the impact of the parameter.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
An Evaluation of GeoBEST Contingency Beddown Planning Software Using the Technology Acceptance Model
GeoBEST (Base Engineer Survey Toolkit) is a software program built under contract with the USAF. It is designed to simplify the contingency beddown planning process through application of geographic information technology. The purpose of this thesis was to thoroughly evaluate GeoBEST using prospective GeoBEST users in a realistic beddown planning scenario. The Technology Acceptance Model (TAM) was applied, which measures a prospective user's perceptions of the technology's usefulness and ease-of- use and predicts their intentions to use the software in the future. The evaluation also included a qualitative evaluation of specific software features. The test group for this thesis was seventy-one Civil Engineering students attending contingency skills training at the Silver Flag training site, Tyndall AFB, FL. The students were given a one-hour interactive demonstration of GeoBEST after which they completed a survey. The students were given the option of using the program for preparation of their assigned beddown plan. Some Silver Flag instructors also completed a separate survey.The results from the TAM predict that the students were only slightly likely to use GeoBEST for beddown planning in the future. Throughout the course of the research, several features of GeoBEST were identified that limit the program's effectiveness. Some of these were minor irritants, while others were serious design flaws. Recommendations are made for implementation of GeoBEST and creation of training programs for prospective users.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Software Domain Model Integration Methodology for Formal Specifications
Using formal methods to create automatic code generation systems is one of the goals of Knowledge Based Software Engineering (KBSE) groups. The research of the Air Force Institute of Technology KBSE group has focused on the utilization of formal languages to represent domain model knowledge within this process. The code generation process centers around correctness preserving transformations that convert domain models from their analysis representations through design to the resulting implementation code. The diversity of the software systems that can be developed in this manner is limited only by the availability of suitable domain models. Therefore it should be possible to combine existing domain models when no single model is able to completely satisfy the requirements by itself. This work proposes a methodology that can be used to integrate domain models represented by formal languages. The integration ensures that the correctness of each input model is maintained while adding the desired functionality to the integrated model. Further, because of the inherent knowledge captured in the domain models, automated tool support can be developed to assist the application engineer in this process.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Validation and Verification of Formal Specifications in Object-Oriented Software Engineering
The use of formal specifications allows for a software system to be defined with stringent mathematical semantics and syntax via such tools as propositional calculus and set theory. There are many perceived benefits garnered from formal specifications, such as a thorough and in-depth understanding of the domain and system being specified and a reduction in user requirement ambiguity. Probably the greatest benefit of formal specifications, and that which is least capitalized upon, is that mathematical proof procedures can be used to test and prove internal consistency and syntactic correctness in an effort to ensure comprehensive validation and verification (VV). The automation of the proof process will make formal methods far more attractive by reducing the time required and the effort involved in the V and V of software systems.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Roadblocks to Software Modernization
Failed or troubled modernization efforts, such as the multi-million dollar 1997-2000 ROCC/SOCC failure, are a serious acquisition problem for the Air Force. Using both historical data and a survey of current Air Force software acquisition program key staff, this research examined the Air Forces ability to modernize legacy software systems.The search of historical program data, to identify trends or similarities between known failed software modernization efforts, failed to uncover sufficient data for analysis. This lack of project data indicates a knowledge management issue (i.e. lessons learned are not recorded and stored so that they can be accessed by other programs) in the acquisition community.The Phase II survey gathered data on current software programs and addressed the recommendations of the 2000 Defense Science Board (DSB) Study on Software. The goal was to determine first, had the recommendations been implemented, second, did program characteristics effect implementation, and third, did implementing the recommendations lead to program success. The survey results indicate that most of the recommendations of the DSB are not in practice in the acquisition community. They also indicate that support programs are more likely to have implemented the recommendations than are weapons systems.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Calibration and Validation of the Cocomo II.1997.0 Cost/Schedulee Estimating Model to the Space and Missile Systems Center Database
The pressure to decrease costs within the Department of Defense has influenced the start of many cost estimating studies, in an effort to provide more accurate estimating and reduce costs. The goal of this study was to determine the accuracy of COCOMO II.1997.0, a software cost and schedule estimating model, using Magnitude of Relative Error, Mean Magnitude of Relative Error, Relative Root Mean Square, and a 25 percent Prediction Level. Effort estimates were completed using the model in default and in calibrated mode. Calibration was accomplished by dividing four stratified data sets into two random validation and calibration data sets using five times resampling. The accuracy results were poor; the best having an accuracy of only .3332 within 40 percent of the time in calibrated mode. It was found that homogeneous data is the key to producing the best results, and the model typically underestimates. The second part of this thesis was to try and improve upon the default mode estimates. This was accomplished by regressing the model estimates to the actual effort. Each original regression equation was transformed and tested for normality, equal variance, and significance. Overall, the results were promising; regression improved the accuracy in three of the four cases, the best having an accuracy of .2059 within 75 percent of the time.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Beyond Code
This book investigates how tools such as Cursor AI, GitHub Copilot, and Replit's Ghostwriter are dismantling traditional barriers to entry for learners-particularly those from non-STEM backgrounds-by enabling natural language code generation, intelligent debugging, and interactive, project-based learning.
A Practical Guide to Quantum Computing
Learn about quantum information processing with Qiskit through hands-on projects. A foundational resource for STEM professionals, researchers and university students interested in quantum computers and algorithmsKey Features: - Understand the theoretical foundations of quantum computing- Learn how to use the Qiskit framework and how to run quantum algorithms with it- Discover top quantum algorithms like Grover's search and Shor's factoring methods- Purchase of the print or Kindle book includes a free PDF eBookBook Description: This book is an introduction, from scratch, to quantum computing and the most important and foundational quantum algorithms-ranging from humble protocols such as Deutsch's algorithm to ones with far-reaching potential, such as Shor's factoring algorithm-offering clear explanations and a hands-on approach with runnable code on simulators and real hardware. The book is self-contained and does not assume any previous experience in quantum computing. Starting with a single qubit, it scales to algorithms using superposition and entanglement.At every step, examples of applications are provided, including how to create quantum money that is impossible to forge, quantum cryptography that cannot be broken, and algorithms for searching and factoring that are much faster than those that regular, non-quantum computers can use. Code for each of these algorithms is provided (and explained in detail) using Qiskit 2.1.After reading this book, you will understand how quantum algorithms work, how to write your own quantum programs, and how to run them on quantum simulators and actual quantum computers. You will also be prepared to take the jump into quantum algorithms for optimization and artificial intelligence, like those presented in our previous book, A Practical Guide to Quantum Machine Learning and Quantum Optimization.What You Will Learn: - Understand what makes a quantum computer unique- Mathematically represent the state of multi-qubit systems- Describe the effects of measurements in quantum computers- Know how quantum superposition, entanglement, and interference work- Implement and run any quantum algorithm in Qiskit- Understand how Shor's and Grover's algorithms work- Gain familiarity with quantum fault-tolerance and quantum advantageWho this book is for: This book would be ideal for university-level students in Computer Science, Mathematics, Physics or other STEM fields taking introductory-level courses on quantum computing. It also suits professionals, researchers and self-learners with a STEM background. Potential readers of our previous book, A Practical Guide to Quantum Machine Learning and Quantum Optimization, will benefit from first building foundational quantum computing skills with this book.Table of Contents- What Is (and What Is Not) a Quantum Computer?- Qubits, Gates, and Measurements- Applications and Protocols with One Qubit- Coding One-Qubit Protocols in Qiskit- How to Work with Two Qubits- Applications and Protocols with Two Qubits- Coding Two-Qubit Algorithms in Qiskit- How to Work with Many Qubits- The Full Power of Quantum Algorithms- Coding with Many Qubits in Qiskit- Finding the Period and Factoring Numbers- Searching and Counting with a Quantum Computer- Coding Shor and Grover's Algorithms in Qiskit- Quantum Error Correction and Fault Tolerance- Experiments for Quantum Advantage- APPENDICES
DevOps Security and Automation
DevOps has emerged as a crucial methodology for streamlining processes, enhancing collaboration, and delivering high-quality software at scale. It is fundamentally changing how software is developed and delivered, focusing on speed, quality, and seamless collaboration.This book equips readers with the knowledge and practical skills needed to excel in DevOps. From foundational concepts to advanced techniques, it covers the DevOps lifecycle, including version control, CI/CD, IaC, containerization, Kubernetes, observability, security integration, and site reliability engineering. Each chapter includes hands-on exercises using industry-standard tools like Docker, Jenkins, Terraform, and Prometheus.By the end of this book, readers will have gained theoretical knowledge and practical experience to implement DevOps principles effectively, automate workflows, and drive innovation within their organization.WHAT YOU WILL LEARN● Build automated CI/CD pipelines with Jenkins and GitHub Actions.● Implement IaC using Terraform and Ansible.● Deploy containerized applications with Docker and Kubernetes.● Integrate security practices into DevOps workflows.● Apply site reliability engineering principles for system reliability.● Automate testing strategies, including TDD and BDD approaches.● Provision cloud IaC using Terraform and Ansible.WHO THIS BOOK IS FORThis book is designed for software engineers, DevOps engineers, system administrators, and IT professionals looking to master DevOps practices. Perfect for developers wanting to automate deployment operations and tech leads driving DevOps adoption.
Delivering Digital Solutions
We are living in the digital age: from ordering products & services to studying and booking travel, digital solutions are everywhere we go and in everything we do. In a world increasingly driven by technology, understanding the creation of digital solutions is ever more crucial. The third book in the comprehensive three-part Digital Solutions collection, Delivering Digital Solutions seamlessly builds upon the second book to provide an in-depth guide to digital solution delivery. Three sections focused on developing, testing, and deploying digital solutions explore a range of methodologies, techniques, standards and practices common across software engineering, quality assurance and control, continuous delivery and DevOps. The book also dedicates a chapter to post-delivery considerations including the operation, maintenance and decommissioning of digital solutions. The complete collection covers the entire life cycle of defining, designing, developing and delivering digital solutions, providing an essential body of knowledge (including extensive references for further study) for students of the BCS International Diploma in Solution Development.
Site Reliability Engineering Handbook
SRE is a set of principles and practices that apply a software engineer's approach and help IT operations. The role of the site reliability engineer (SRE) is to bridge the gap between development and operations, ensuring that systems are not only robust but also performant. SRE aims to deliver a highly scalable and reliable software system; however, like any technology and practice, some roadblocks can lead to pitfalls for SRE. This book systematically guides you through the SRE landscape, starting with an introduction to its core principles and its synergy with DevOps. It will take readers through some real-world scenarios of SRE pitfalls and solutions. You will learn how to build effective, reliable systems by implementing best practices. The book will also cover technologies and processes such as site reliability engineering methodology and DevOps. It concludes with a practical SRE toolkit, an overview of the SRE role, and a vision for the future of the field, preparing you for success.By the end of the book, readers will be equipped with the principles and practices needed to design, build, and maintain a truly reliable system at scale, effectively diagnose and resolve issues, and confidently apply these skills to any modern software environment.WHAT YOU WILL LEARN● Learn the foundational pillars of SRE.● Technical distinctions and synergies between SRE and DevOps.● Identifying system loopholes and solutions to improve its performance.● Choosing the right metrics to measure system performance and availability. ● Creating a comprehensive SRE toolkit with industry-standard tools. ● Roles and responsibilities of an SRE engineer.WHO THIS BOOK IS FORThis book is perfect for SREs and aspiring SREs. It is valuable for software engineers who build quality software and aspire to understand SRE principles. It will help DevOps engineers gauge similarities and differences between SRE and DevOps approaches. It is also a valuable resource for technology leaders and product managers aiming to understand SRE principles for effective delivery.
On the Complexity of Motion Planning for Multiple Independent Objects; Pspace Hardness of the "warehouseman's Problem"
This technical report examines the computational complexity of motion planning algorithms, specifically focusing on the scenario involving multiple independent objects. The central result demonstrates the Pspace hardness of the "warehouseman's problem," a classic challenge in robotics and computational geometry. "On the Complexity of Motion Planning for Multiple Independent Objects" provides a detailed analysis of the algorithmic challenges inherent in coordinating the movement of multiple objects through a constrained space. This report is essential reading for researchers and practitioners in robotics, artificial intelligence, and theoretical computer science, offering foundational insights into the limits of efficient motion planning.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Machine Code Optimization - Improving Executable Object Code
"Machine Code Optimization: Improving Executable Object Code" delves into the intricate techniques for refining machine code to enhance the performance of executable programs. This book explores methods to optimize object code, providing insights valuable to programmers and computer scientists. Clinton F. Gross offers a focused examination of assembly language and related optimization strategies. Readers will gain a deeper understanding of how to improve the efficiency and speed of software through meticulous code refinement. This book provides a foundational understanding of the subject matter.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
The Elusive Silver Lining
"The Elusive Silver Lining: How We Fail to Learn From Failure in Software Development" examines the pervasive challenges in software development projects. It delves into why organizations often struggle to extract valuable lessons from past failures. By analyzing the dynamics of project management, risk assessment, and team collaboration, this book provides insights into the systemic issues that hinder learning and improvement. It's a crucial resource for project managers, software engineers, and business leaders seeking to enhance project outcomes and foster a culture of continuous learning within their organizations. Understanding why failures occur and how to mitigate them is essential for success in the ever-evolving landscape of software development.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Expected Parallel Time and Sequential Space Complexity of Graph and Digraph Problems
This book explores the expected parallel time and sequential space complexity of various graph and digraph problems. It provides an in-depth analysis of algorithms designed to solve these problems, focusing on their efficiency in terms of both time and space. The work is aimed at researchers and students in computer science, mathematics, and related fields who are interested in the theoretical aspects of computation and algorithm design.Key topics include graph theory, parallel processing, algorithm analysis, and computational complexity. The book offers a rigorous treatment of the subject, combining theoretical results with practical considerations. It serves as a valuable resource for understanding the fundamental limitations and possibilities of solving graph and digraph problems using parallel and sequential computing models.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
On the Complexity of Motion Planning for Multiple Independent Objects; Pspace Hardness of the "warehouseman's Problem"
This technical report examines the computational complexity of motion planning algorithms, specifically focusing on the scenario involving multiple independent objects. The central result demonstrates the Pspace hardness of the "warehouseman's problem," a classic challenge in robotics and computational geometry. "On the Complexity of Motion Planning for Multiple Independent Objects" provides a detailed analysis of the algorithmic challenges inherent in coordinating the movement of multiple objects through a constrained space. This report is essential reading for researchers and practitioners in robotics, artificial intelligence, and theoretical computer science, offering foundational insights into the limits of efficient motion planning.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Calibration and Validation of the Cocomo II.1997.0 Cost/Schedulee Estimating Model to the Space and Missile Systems Center Database
The pressure to decrease costs within the Department of Defense has influenced the start of many cost estimating studies, in an effort to provide more accurate estimating and reduce costs. The goal of this study was to determine the accuracy of COCOMO II.1997.0, a software cost and schedule estimating model, using Magnitude of Relative Error, Mean Magnitude of Relative Error, Relative Root Mean Square, and a 25 percent Prediction Level. Effort estimates were completed using the model in default and in calibrated mode. Calibration was accomplished by dividing four stratified data sets into two random validation and calibration data sets using five times resampling. The accuracy results were poor; the best having an accuracy of only .3332 within 40 percent of the time in calibrated mode. It was found that homogeneous data is the key to producing the best results, and the model typically underestimates. The second part of this thesis was to try and improve upon the default mode estimates. This was accomplished by regressing the model estimates to the actual effort. Each original regression equation was transformed and tested for normality, equal variance, and significance. Overall, the results were promising; regression improved the accuracy in three of the four cases, the best having an accuracy of .2059 within 75 percent of the time.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Machine Code Optimization - Improving Executable Object Code
"Machine Code Optimization: Improving Executable Object Code" delves into the intricate techniques for refining machine code to enhance the performance of executable programs. This book explores methods to optimize object code, providing insights valuable to programmers and computer scientists. Clinton F. Gross offers a focused examination of assembly language and related optimization strategies. Readers will gain a deeper understanding of how to improve the efficiency and speed of software through meticulous code refinement. This book provides a foundational understanding of the subject matter.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Faster Parametric Shortest Path and Minimum Balance Algorithms
This technical report presents research on developing faster algorithms for solving parametric shortest path and minimum balance problems. The report details new approaches to these optimization challenges, potentially offering improvements over existing methods. The work by Young, Tarjan, and Orlin explores theoretical aspects of algorithm design within the fields of computer science and operations research. This study offers valuable insights for researchers and practitioners interested in advanced algorithmic techniques.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Cobol Reengineering Using the Parameter Based Object Identification Methodology
This research focuses on how to reengineer Cobol legacy systems into object-oriented systems using Sward's Parameter Based Object Identification (PBOI) methodology. The method is based on relating categories of imperative subprograms to classes written in object-oriented language based on how parameters are handled and shared among them. The input language of PBOI is a canonical form called the generic imperative model (GIM), which is an abstract syntax tree (AST) representation of a simple imperative programming language. The output is another AST, the generic object model (GOM), a generic object oriented language. Conventional languages must be translated into the GIM to use PBOI. The first step in this research is to analyze and classify Cobol constructs. The second step is to develop Refine programs to perform the translation of Cobol programs into the GIM. The third step is to use the PBOI prototype system to transform the imperative model in the GIM into the GOM. The final step is to perform a validation of the objects extracted, analyze the system functionally, and evaluate the PBOI methodology in terms of the case study.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Tool-Based Integration and Code Generation of Object Models
Today many organizations are faced with multiple large legacy data stores in different formats and the need to use data from each data store with tools based on the other data stores' formats. This thesis presents a tool-based methodology for integrating object-oriented data models with automatic generation of code. The generated code defines a global data format, generates views of global data in individual integrated data formats, and parses data from individual formats to the global formats and from the global format to the individual formats. This allows for legacy data to be translated into the global format, and all future data to be entered in the global format. Once in the global format, the data may be exported to any of the integrated formats for use with the appropriate tools. The methodology is based on using formal methods and knowledge-based engineering techniques with a transformation system and object-oriented views. The methodology is demonstrated by a sample implementation of the integration tool being used to integrate data formats used by three different sensor-based, engagement-level simulation systems.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Selecting a Software Engineering Methodology Using Multiobjective Decision Analysis
With the emergence of agent-oriented software engineering methodologies, software developers have a new set of tools to solve complex software requirements. One problem software developers face is to determine which methodology is the best approach to take to developing a solution. A number of factors go into the decision process. This thesis defines a decision making process that can be used by a software engineer to determine whether or not a software engineering approach is an appropriate system development strategy. This decision analysis process allows the software engineer to classify and evaluate a set of methodologies while specifically considering the software requirement at hand. The decision-making process is developed on a multi-objective decision analysis technique. This type of technique is necessary as there are a number of different, and sometimes conflicting, criterions. The set of criteria used to base the decision was derived from literature sources and validated by an opinion survey conducted to members of the software engineering community. After developing the decision making framework, a number of case studies are examined.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Roadblocks to Software Modernization
Failed or troubled modernization efforts, such as the multi-million dollar 1997-2000 ROCC/SOCC failure, are a serious acquisition problem for the Air Force. Using both historical data and a survey of current Air Force software acquisition program key staff, this research examined the Air Forces ability to modernize legacy software systems.The search of historical program data, to identify trends or similarities between known failed software modernization efforts, failed to uncover sufficient data for analysis. This lack of project data indicates a knowledge management issue (i.e. lessons learned are not recorded and stored so that they can be accessed by other programs) in the acquisition community.The Phase II survey gathered data on current software programs and addressed the recommendations of the 2000 Defense Science Board (DSB) Study on Software. The goal was to determine first, had the recommendations been implemented, second, did program characteristics effect implementation, and third, did implementing the recommendations lead to program success. The survey results indicate that most of the recommendations of the DSB are not in practice in the acquisition community. They also indicate that support programs are more likely to have implemented the recommendations than are weapons systems.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
On Graph Isomorphism and the Pagerank Algorithm
Graphs express relationships among objects, such as the radio connectivity among nodes in unmanned vehicle swarms. Some applications may rank a swarm's nodes by their relative importance, for example, using the PageRank algorithm applied in certain search engines to order query responses. The PageRank values of the nodes correspond to a unique eigenvector that can be computed using the power method, an iterative technique based on matrix multiplication. The first result is a practical lower bound on the PageRank algorithm's execution time that is derived by applying assumptions to the PageRank perturbation's scaling value and the PageRank vector's required numerical precision. The second result establishes nodes contained in the same block of the graph's coarsest equitable partition must have equal PageRank values. The third result, the AverageRank algorithm, ensures such nodes are assigned equal PageRank values. The fourth result, the ProductRank algorithm, reduces the time needed to find the PageRank vector by eliminating certain dot products in the power method if the graph's coarsest equitable partition contains blocks composed of multiple vertices.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Selecting a Software Engineering Methodology Using Multiobjective Decision Analysis
With the emergence of agent-oriented software engineering methodologies, software developers have a new set of tools to solve complex software requirements. One problem software developers face is to determine which methodology is the best approach to take to developing a solution. A number of factors go into the decision process. This thesis defines a decision making process that can be used by a software engineer to determine whether or not a software engineering approach is an appropriate system development strategy. This decision analysis process allows the software engineer to classify and evaluate a set of methodologies while specifically considering the software requirement at hand. The decision-making process is developed on a multi-objective decision analysis technique. This type of technique is necessary as there are a number of different, and sometimes conflicting, criterions. The set of criteria used to base the decision was derived from literature sources and validated by an opinion survey conducted to members of the software engineering community. After developing the decision making framework, a number of case studies are examined.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
