Generative Ai For Effective Software Development
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Generative Ai For Effective Software Development
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Author : Anh Nguyen-Duc
language : en
Publisher: Springer
Release Date : 2024-05-15
Generative Ai For Effective Software Development written by Anh Nguyen-Duc and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-15 with Computers categories.
This book provides a comprehensive, empirically grounded exploration of how Generative AI is reshaping the landscape of software development. It emphasizes the empirical evaluation of Generative AI tools in real-world scenarios, offering insights into their practical efficacy, limitations, and impact. By presenting case studies, surveys, and interviews from various software development contexts, the book offers a global perspective on the integration of Generative AI, highlighting how these advanced tools are adapted to and influence diverse cultural, organizational, and technological environments. This book is structured to provide a comprehensive understanding of Generative AI and its transformative impact on the field of software engineering. The book is divided into five parts, each focusing on different aspects of Generative AI in software development. As an introduction, Part 1 presents the fundamentals of Generative AI adoption. Part 2 is a collection of empirical studies and delves into the practical aspects of integrating Generative AI tools in software engineering, with a focus on patterns, methodologies, and comparative analyses. Next, Part 3 presents case studies that showcase the application and impact of Generative AI in various software development contexts. Part 4 then examines how Generative AI is reshaping software engineering processes, from collaboration and workflow to management and agile development. Finally, Part 5 looks towards the future, exploring emerging trends, future directions, and the role of education in the context of Generative AI. The book offers diverse perspectives as it compiles research and experiences from various countries and software development environments. It also offers non-technical discussions about Generative AI in management, teamwork, business and education. This way, it is intended for both researchers in software engineering and for professionals in industry who want to learn about the impact of Generative AI on software development.
Generative Ai In Software Development
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Author : Jesse Sprinter
language : en
Publisher: Independently Published
Release Date : 2023-10-23
Generative Ai In Software Development written by Jesse Sprinter and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-23 with categories.
Discover the Future of Software Development Unlock the secrets of Artificial Intelligence and transform the way you develop software. "Generative AI in Software Development" is your essential guide to the latest AI techniques, demystified in clear, simple language. Whether you're a seasoned developer or a newcomer to coding, this book is your ticket to a brighter, more efficient future in software development.
Artificial Intelligence Methods For Software Engineering
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Author : Meir Kalech
language : en
Publisher: World Scientific
Release Date : 2021-06-15
Artificial Intelligence Methods For Software Engineering written by Meir Kalech and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-15 with Computers categories.
Software is an integral part of our lives today. Modern software systems are highly complex and often pose new challenges in different aspects of Software Engineering (SE).Artificial Intelligence (AI) is a growing field in computer science that has been proven effective in applying and developing AI techniques to address various SE challenges.This unique compendium covers applications of state-of-the-art AI techniques to the key areas of SE (design, development, debugging, testing, etc).All the materials presented are up-to-date. This reference text will benefit researchers, academics, professionals, and postgraduate students in AI, machine learning and software engineering.Related Link(s)
Generative Software Engineering
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Author : David Hendrickson
language : en
Publisher:
Release Date : 2023-07-31
Generative Software Engineering written by David Hendrickson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-31 with categories.
Generative Software Engineering: A New Approach to Human-Centered Software Development by David Hendrickson, Ph.D., redefines software development in the era of generative AI. This groundbreaking book explores the dynamic intersection of artificial intelligence and traditional software engineering practices, providing a comprehensive guide for developers, managers, and executives interested in navigating the evolving digital landscape. As the rise of generative AI threatens to eclipse the role of human software developers, David Hendrickson proposes an evolutionary approach. Instead of competing against AI, developers can learn to collaborate with it, harnessing its immense power to create intricate, efficient software systems. Generative Software Engineering, as the author calls it, is an innovative discipline that blends the best of both worlds: the precision and speed of AI and the creativity and strategic thinking of human developers. Throughout the book, David Hendrickson shares his vision for a future where software engineers focus on higher-level concerns, leaving the underlying code to AI. He discusses the role of prompt engineering, requirements engineering, and the critical aspects of reliability engineering, software quality assurance, and simulation and modeling of software systems. The book also includes an in-depth exploration of ethical implications and potential challenges associated with developing AI-assisted software and discusses its regulation and use in regulated industries. David Hendrickson, a veteran software developer, and executive, brings over three decades of industry experience. His firsthand accounts and unique insights are informative and thought-provoking, inspiring readers to embrace the inevitable changes and adapt to new realities. Whether you're a seasoned developer, a novice coder, or a technology executive, this book is an invaluable resource that will help you stay relevant in the rapidly evolving world of software development.
Generative Analysis The Power Of Generative Ai For Object Oriented Software Engineering With Uml
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Author : Jim Arlow
language : en
Publisher: Addison-Wesley Professional
Release Date : 2024-02-15
Generative Analysis The Power Of Generative Ai For Object Oriented Software Engineering With Uml written by Jim Arlow and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-15 with Computers categories.
Artificial Intelligence And Software Engineering
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Author : Derek Partridge
language : en
Publisher: Routledge
Release Date : 2013-04-11
Artificial Intelligence And Software Engineering written by Derek Partridge and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-11 with Business & Economics categories.
Managers, business owners, computer literate individuals, software developers, students, and researchers--all are looking for an understanding of artificial intelligence (AI) and what might be in the future. In this literate yet easy-to-read discussion, Derek Partridge explains what artificial intelligence can and cannot do, and what it holds for applications such as banking, financial services, and expert systems of all kinds. Topics include: the strengths and weaknesses of software development and engineering; machine learning and its promises and problems; expert systems and success stories; and practical software through artificial intelligence.
Artificial Intelligence Applications For Improved Software Engineering Development New Prospects
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Author : Meziane, Farid
language : en
Publisher: IGI Global
Release Date : 2009-07-31
Artificial Intelligence Applications For Improved Software Engineering Development New Prospects written by Meziane, Farid and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-31 with Computers categories.
"This book provides an overview of useful techniques in artificial intelligence for future software development along with critical assessment for further advancement"--Provided by publisher.
Building Generative Ai Applications With Aws Bedrock
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Building Generative Ai Applications With Aws Bedrock written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
"Building Generative AI Applications with AWS Bedrock" explores the intersection of artificial intelligence and AWS cloud services, guiding readers through the process of creating powerful generative AI applications. From concept to deployment, this book offers a comprehensive roadmap for leveraging AWS Bedrock to build cutting-edge AI systems that can generate creative outputs across various domains. The book begins by introducing the foundational concepts of generative AI, explaining how algorithms learn to generate new content such as images, text, music, and more. Readers are then introduced to AWS Bedrock, a suite of tools and services provided by Amazon Web Services (AWS) specifically designed for building and deploying AI applications at scale. Through practical examples and step-by-step tutorials, readers learn how to harness the capabilities of AWS Bedrock to train and deploy generative AI models effectively. The book covers key topics such as data collection and preprocessing, model training using AWS SageMaker, and deploying models for real-time inference with AWS Lambda and API Gateway. Furthermore, "Building Generative AI Applications with AWS Bedrock" delves into advanced topics such as model optimization, scalability, and security, providing readers with the knowledge and skills needed to build robust and efficient AI systems in the cloud. Throughout the book, best practices and expert tips are shared to help readers avoid common pitfalls and optimize their AI workflows for performance and reliability. Whether you're a data scientist, AI engineer, or cloud developer, this book equips you with the tools and techniques necessary to unlock the full potential of generative AI on the AWS platform. By the end of the book, readers will have a solid understanding of how to design, build, and deploy generative AI applications that push the boundaries of creativity and innovation.
Ai Assisted Programming
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Author : Tom Taulli
language : en
Publisher:
Release Date : 2024-05-21
Ai Assisted Programming written by Tom Taulli and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-21 with Computers categories.
Get practical advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, and design; coding; and debugging, testing, and documentation. With this practical book, beginners and experienced developers alike will learn how to use a wide range of tools, from general-purpose LLMs (ChatGPT, Bard, and Claude) to code-specific systems (GitHub Copilot, Tabnine, Cursor, and Amazon CodeWhisperer). You'll also learn about more specialized generative AI tools for tasks such as text-to-image creation. Author Tom Taulli provides a methodology for modular programming that aligns effectively with the way prompts create AI-generated code. This guide also describes the best ways of using general purpose LLMs to learn a programming language, explain code, or convert code from one language to another. This book examines: The core capabilities of AI-based development tools Pros, cons, and use cases of popular systems such as GitHub Copilot and Amazon CodeWhisperer Ways to use ChatGPT, Bard, Claude, and other generic LLMs for coding Using AI development tools for the software development lifecycle, including requirements, planning, coding, debugging, and testing Prompt engineering for development Using AI-assisted programming for tedious tasks like creating regular expressions making chron jobs and GitHub Actions How to use AI-based low-code and no-code tools
Advancing Software Engineering Through Ai Federated Learning And Large Language Models
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Author : Sharma, Avinash Kumar
language : en
Publisher: IGI Global
Release Date : 2024-05-02
Advancing Software Engineering Through Ai Federated Learning And Large Language Models written by Sharma, Avinash Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-02 with Computers categories.
The rapid evolution of software engineering demands innovative approaches to meet the growing complexity and scale of modern software systems. Traditional methods often need help to keep pace with the demands for efficiency, reliability, and scalability. Manual development, testing, and maintenance processes are time-consuming and error-prone, leading to delays and increased costs. Additionally, integrating new technologies, such as AI, ML, Federated Learning, and Large Language Models (LLM), presents unique challenges in terms of implementation and ethical considerations. Advancing Software Engineering Through AI, Federated Learning, and Large Language Models provides a compelling solution by comprehensively exploring how AI, ML, Federated Learning, and LLM intersect with software engineering. By presenting real-world case studies, practical examples, and implementation guidelines, the book ensures that readers can readily apply these concepts in their software engineering projects. Researchers, academicians, practitioners, industrialists, and students will benefit from the interdisciplinary insights provided by experts in AI, ML, software engineering, and ethics.