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Software Testing With Generative Ai


Software Testing With Generative Ai
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Software Testing With Generative Ai


Software Testing With Generative Ai
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Author : Mark Winteringham
language : en
Publisher: Simon and Schuster
Release Date : 2024-12-31

Software Testing With Generative Ai written by Mark Winteringham and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-31 with Computers categories.


Speed up your testing and deliver exceptional product quality with the power of AI tools. The more you test, the more you learn about your software. Software Testing with Generative AI shows you how you can expand, automate, and enhance your testing with Large Language Model (LLM)-based AI. Your team will soon be delivering higher quality tests, all in less time. In Software Testing with Generative AI you’ll learn how to: • Spot opportunities to improve test quality with AI • Construct test automation with the support of AI tools • Formulate new ideas during exploratory testing using AI tools • Use AI tools to aid the design process of new features • Improve the testability of a context with the help of AI tools • Maximize your output with prompt engineering • Create custom LLMs for your business’s specific needs Software Testing with Generative AI is full of hype-free advice for supporting your software testing with AI. In it, you’ll find strategies from bestselling author Mark Winteringham to generate synthetic testing data, implement automation, and even augment and improve your test design with AI. Foreword by Nicola Martin. About the technology There’s a simple rule in software testing: the more you test, the more you learn. And as any testing pro will tell you, good testing takes time. By integrating large language models (LLMs) and generative AI into your process, you can dramatically automate and enhance testing, improve quality and coverage, and deliver more meaningful results. About the book Software Testing with Generative AI shows you how AI can elevate every aspect of testing—automation, test data management, test scripting, exploratory testing, and more! Learn how to use AI coding tools like Copilot to guide test-driven development, get relevant feedback about your applications from ChatGPT, and use the OpenAI API to integrate AI into your data generation. You’ll soon have higher-quality testing that takes up less of your time. What's inside • Improve test quality and coverage • AI-powered test automation • Build agents that act as testing assistants About the reader For developers, testers, and quality engineers. About the author Mark Winteringham is an experienced software tester who teaches many aspects of software testing. He is the author of Testing Web APIs. The technical editor on this book was Robert Walsh. Table of Contents Part 1 1 Enhancing testing with large language models 2 Large language models and prompt engineering 3 Artificial intelligence, automation, and testing Part 2 4 AI-assisted testing for developers 5 Test planning with AI support 6 Rapid data creation using AI 7 Accelerating and improving UI automation using AI 8 Assisting exploratory testing with artificial intelligence 9 AI agents as testing assistants Part 3 10 Introducing customized LLMs 11 Contextualizing prompts with retrieval-augmented generation 12 Fine-tuning LLMs with business domain knowledge Appendix A Setting up and using ChatGPT Appendix B Setting up and using GitHub Copilot Appendix C Exploratory testing notes



Generative Ai For Software Development


Generative Ai For Software Development
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Author : Seifedine Kadry
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2025-06-30

Generative Ai For Software Development written by Seifedine Kadry and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with Computers categories.


As the field of Artificial Intelligence continues to evolve, Generative AI has emerged as a powerful tool in the realm of software development. AI models capable of generating high-quality, human-like code can significantly accelerate the software development process, assist in troubleshooting, and even automate tasks traditionally performed by human developers. Generative AI models, such as OpenAI, DeepMind, and others, are already demonstrating the ability to write functional code, generate documentation, and assist in code review. These models are not only reducing the time it takes to develop applications but are also making software development more accessible to a broader audience, including non-technical users. This book is intended to serve as a comprehensive guide for developers, technology leaders, and anyone interested in understanding how to leverage Generative AI in software development. It will cover the underlying technology behind these models, practical use cases, integration into development workflows, and ethical considerations. Additionally, it explores how the democratization of coding through AI will shape the future of software engineering. By providing insights into real-world applications and best practices for integrating generative AI into the software lifecycle, this book empowers readers to stay ahead of the technological curve in a rapidly evolving industry.



Intelligent Assurance Artificial Intelligence Powered Software Testing In The Modern Development Lifecycle


Intelligent Assurance Artificial Intelligence Powered Software Testing In The Modern Development Lifecycle
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Author : Partha Sarathi Mohapatra
language : en
Publisher: Deep Science Publishing
Release Date : 2025-07-27

Intelligent Assurance Artificial Intelligence Powered Software Testing In The Modern Development Lifecycle written by Partha Sarathi Mohapatra and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-27 with Computers categories.


Traditional testing can’t match the speed and reliability demanded in modern software development and releases. This book explains the integration of Artificial Intelligence is transforming software testing—enabling smarter, faster, and more scalable quality assurance across the development lifecycle. This book demystifies the integration of AI, machine learning, and natural language processing into modern testing workflows. From automated test case generation and defect prediction to adaptive test maintenance and intelligent prioritization, it offers practical insights and real-world applications that empower QA teams to deliver higher-quality software with greater efficiency. Through a structured, hands-on approach, readers will explore AI-driven testing strategies, tools, and architectures that align with DevOps and agile practices. The book also delves into ethical considerations, challenges in AI adoption, and the future of autonomous testing agents. Whether you're a software tester, QA lead, DevOps engineer, or technology decision-maker, this book equips you with the knowledge to embrace AI-driven testing as a strategic advantage in delivering resilient, secure, and high-performance software.



Smart Business And Technologies


Smart Business And Technologies
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Author : Souad Najoua Lagmiri
language : en
Publisher: Springer Nature
Release Date : 2025-03-31

Smart Business And Technologies written by Souad Najoua Lagmiri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-31 with Computers categories.


This book covers the theory, applications, and viewpoints on the most recent and upcoming advancements in the fields of complex processes, decision-making, control, and systems and networks. In the well-known lecture notes in networks and systems series, "Smart Business and Technologies" is the most recent entry. The cutting-edge research presented at the International Conference on Smart Business and technology (ICSBT'24) is compiled in this volume, which highlights creative solutions, new developments, and useful applications in the domains of advanced technology and smart business practices. For scholars, professionals, and students hoping to remain on the cutting edge of business innovation and technology breakthroughs, it is a vital resource. Numerous topics, including cyber-physical systems, artificial intelligence, data analytics, IoT-enabled solutions, autonomous systems, control systems, sustainable business models, digital transformation strategies, blockchain applications, smart supply chain management, customer experience optimization, predictive analytics, energy systems, robotics, smart cities, manufacturing, and more, are covered in the series' proceedings and edited volumes on systems and networks. These subjects provide insights into the methods and paradigms that propel advancement in smart business and technology sectors. They are enmeshed in interdisciplinary fields such as applied sciences, engineering, computer science, business, economics, and social sciences.



Software Testing In The Ai Era


Software Testing In The Ai Era
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Author : Rajamanickam Antonimuthu
language : en
Publisher: Independently Published
Release Date : 2025-10-16

Software Testing In The Ai Era written by Rajamanickam Antonimuthu and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-16 with Computers categories.


Software Testing in the AI Era: A Complete Guide for Modern Testers by Rajamanickam Antonimuthu Step into the future of quality assurance with Software Testing in the AI Era. This practical and easy-to-read guide shows how Artificial Intelligence is reshaping the world of software testing - from using AI-powered tools for automation to testing the AI systems themselves. Whether you're a beginner or an experienced QA professional, this book will help you: Understand how AI transforms traditional testing methods Use AI tools to generate, maintain, and optimize test cases Test data, models, and intelligent systems for accuracy and fairness Streamline bug management with AI-based triaging Build the skills and mindset needed for tomorrow's testing careers Packed with real-world insights, examples, and modern practices, this book is your roadmap to becoming a confident, future-ready software tester. Stay ahead. Test smarter. Welcome to the AI Era.



Ai Driven Software Testing


Ai Driven Software Testing
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Author : Srinivasa Rao Bittla
language : en
Publisher: Springer Nature
Release Date : 2025-10-21

Ai Driven Software Testing written by Srinivasa Rao Bittla and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-21 with Computers categories.


AI-Driven Software Testing explores how Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing quality engineering (QE), making testing more intelligent, efficient, and adaptive. The book begins by examining the critical role of QE in modern software development and the paradigm shift introduced by AI/ML. It traces the evolution of software testing, from manual approaches to AI-powered automation, highlighting key innovations that enhance accuracy, speed, and scalability. Readers will gain a deep understanding of quality engineering in the age of AI, comparing traditional and AI-driven testing methodologies to uncover their advantages and challenges. Moving into practical applications, the book delves into AI-enhanced test planning, execution, and defect management. It explores AI-driven test case development, intelligent test environments, and real-time monitoring techniques that streamline the testing lifecycle. Additionally, it covers AI’s impact on continuous integration and delivery (CI/CD), predictive analytics for failure prevention, and strategies for scaling AI-driven testing across cloud platforms. Finally, it looks ahead to the future of AI in software testing, discussing emerging trends, ethical considerations, and the evolving role of QE professionals in an AI-first world. With real-world case studies and actionable insights, AI-Driven Software Testing is an essential guide for QE engineers, developers, and tech leaders looking to harness AI for smarter, faster, and more reliable software testing. What you will learn: • What are the key principles of AI/ML-driven quality engineering • What is intelligent test case generation and adaptive test automation • Explore predictive analytics for defect prevention and risk assessment • Understand integration of AI/ML tools in CI/CD pipelines Who this book is for: Quality Engineers looking to enhance software testing with AI-driven techniques. Data Scientists exploring AI applications in software quality assurance and engineering. Software Developers – Engineers seeking to integrate AI/ML into testing and automation workflows.



How To Develop A Qa Strategy With Generative Ai


How To Develop A Qa Strategy With Generative Ai
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Author : Bosun Sogeke
language : en
Publisher: Bosun Sogeke
Release Date : 2024-08-16

How To Develop A Qa Strategy With Generative Ai written by Bosun Sogeke and has been published by Bosun Sogeke this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-16 with Business & Economics categories.


In the rapidly evolving landscape of software development, Quality Assurance (QA) plays a pivotal role in ensuring the reliability and performance of applications. "How to Develop a QA Strategy with Generative AI" provides a comprehensive guide to leveraging cutting-edge Generative AI technologies to enhance your QA processes. This ebook delves into the practical steps required to integrate AI into your existing QA workflows, from selecting the right tools to implementing automated testing and predictive analytics. Through detailed case studies, real-world examples, and step-by-step instructions, you’ll learn how to automate repetitive tasks, improve test accuracy, and significantly reduce testing cycles. Whether you’re a QA manager, software engineer, or tech enthusiast, this guide offers valuable insights into the future of QA. Discover how AI-driven tools can transform your approach to software quality, leading to better products and satisfied customers.



Focus On Qa


Focus On Qa
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Author : Sai Chand Boyapati
language : en
Publisher: Sai Chand Boyapati
Release Date :

Focus On Qa written by Sai Chand Boyapati and has been published by Sai Chand Boyapati this book supported file pdf, txt, epub, kindle and other format this book has been release on with Technology & Engineering categories.


This book provides a comprehensive guide to modern software testing through the lens of AI. Explore practical applications, ethical considerations, and functional and security testing strategies. Authored by an industry expert, this book shares real-world experiences in launching large-scale products with quality assurance at the forefront. Whether you are a QA professional, developer, or tech enthusiast, this book is valuable for mastering AI-driven software testing and security processes.





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Author :
language : en
Publisher: "O'Reilly Media, Inc."
Release Date :

written by and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Handbook Of Research On Developments In E Health And Telemedicine


Handbook Of Research On Developments In E Health And Telemedicine
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Author : Maria Manuela Cruz-Cunha
language : en
Publisher:
Release Date : 2010

Handbook Of Research On Developments In E Health And Telemedicine written by Maria Manuela Cruz-Cunha and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Internet in medicine categories.


"This book provide a comprehensive coverage of the latest and most relevant knowledge, developments, solutions, and practical applications, related to e-Health, this new field of knowledge able to transform the way we live and deliver services, both from the technological and social perspectives"--Provided by publisher.