Ai Driven Testing
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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.
Ai Driven Test Strategies Enhancing Quality And Efficiency In Software Development
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Author : Phani Durga Nanda Kishore Kommisetty
language : en
Publisher: JEC PUBLICATION
Release Date :
Ai Driven Test Strategies Enhancing Quality And Efficiency In Software Development written by Phani Durga Nanda Kishore Kommisetty and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
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Ai Driven Testing
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Author : Tariq King
language : en
Publisher:
Release Date : 2021
Ai Driven Testing written by Tariq King and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Software testing is expensive. Through up-front and recurring investment in labor and assets, organizations spend roughly half of their engineering budget on testing activities. The good news is that automated testing efforts have begun to improve through recent advances in AI and machine learning. With this report, you'll learn how AI-driven approaches are helping organizations overcome problems that traditional automated testing tools can't touch. Author Tariq King, chief scientist at test.ai, helps you examine several AI-driven solutions for software testing issues. You'll explore the application of AI and ML to functional, structural performance, and user design testing, and then dive into techniques for automating graphically intensive solutions such as video streaming and gaming applications. You'll learn the current benefits and limitations of AI-driven testing, available applications, and insights into the future of this new and emerging discipline. Learn the challenges and limitations of traditional approaches to software test automation Explore how AI is advancing the state of the art in automated functional, structural, performance, and user design testing in several application domains Examine the costs, benefits, and possible applications of AI-driven testing Look at ways that AI-driven test automation tools will evolve over the next decade.
Automated Software Testing With Ai Tools
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Author : Dr. Ruby Bhatt
language : en
Publisher: SK Research Group of Companies
Release Date : 2025-11-20
Automated Software Testing With Ai Tools written by Dr. Ruby Bhatt and has been published by SK Research Group of Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-20 with Computers categories.
Dr. Ruby Bhatt, Assistant Professor, Department of Computer Science, Medicaps University, Indore, Madhya Pradesh, India.
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.
Ai Infused Test Automation Revolutionizing Software Testing Through Artificial Intelligence
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Author : Anup Sahoo
language : en
Publisher: OrangeBooks Publication
Release Date : 2023-11-27
Ai Infused Test Automation Revolutionizing Software Testing Through Artificial Intelligence written by Anup Sahoo and has been published by OrangeBooks Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-27 with Juvenile Nonfiction categories.
AI-Infused Test Automation: Revolutionizing Software Testing through Artificial Intelligence is an enlightening book that explores the transformative power of AI in software testing. It covers a wide range of AI-driven techniques, tools, and practices, providing readers with a comprehensive understanding of how AI has revolutionized the field. The book inspires readers to embrace AI and leverage its capabilities to enhance test case generation, bug detection, performance testing, and test management. With AI, readers can achieve higher productivity, improved software quality, and enhanced customer satisfaction. This book catalyzes readers to embark on their AI-infused testing journey, driving innovation and shaping the future of software testing.
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
Testing Ai Powered Applications
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Author : Evgeny Tkachenko
language : en
Publisher: Independently Published
Release Date : 2024-10-09
Testing Ai Powered Applications written by Evgeny Tkachenko and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-09 with categories.
Are you ready to take the lead in defining quality standards for AI-powered applications? How will you leverage cutting-edge, AI-driven practices and tools to elevate your quality engineering strategy and propel your organization forward? As artificial intelligence transforms industries, Quality Engineers and Managers are faced with unprecedented challenges that traditional testing methods simply cannot address. Testing AI-Powered Applications: Ensuring Quality in the Age of Intelligent Software provides the strategies, frameworks, and insights you need to master AI testing and establish yourself as a leader in this rapidly evolving field. This book delves into the foundational principles of AI quality engineering, uncovering unique testing requirements and best practices to help you confidently tackle the complexities of AI systems. With a focus on critical quality attributes-such as accuracy, robustness, interpretability, and fairness-it equips you with the tools to build resilient testing frameworks and drive meaningful quality improvements. What's inside: Proven Testing Strategies for AI Systems: Practical methods and frameworks tailored specifically for AI, ensuring you can deliver high-quality, reliable models that align with organizational goals. Solutions for Common Challenges in AI Quality Engineering: Learn how to manage data variability, handle model uncertainty, and select the right tools to enhance your team's efficiency and testing capabilities. Future Trends and Innovations: Stay ahead of the curve by understanding emerging trends and technologies that will redefine the role of QE professionals in the AI era. Ethical Considerations in AI-Driven Quality Engineering: Address the ethical challenges AI introduces, and discover how you can be a steward of responsible and transparent AI practices. This book is not just a guide-it's a call to action for QE Engineers and Managers to redefine quality in the age of AI. Whether you're looking to establish a robust testing strategy for your organization or elevate your own expertise, Testing AI-Powered Applications will position you as a pivotal figure in shaping the future of quality engineering. Don't just adapt to the new era-thrive in it. Empower your team, lead with confidence, and ensure your AI applications meet the highest standards of quality, performance, and ethical integrity.
Ai Driven Quality Assurance With Python
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Author : Wolf Blitzer
language : en
Publisher: Independently Published
Release Date : 2025-10-22
Ai Driven Quality Assurance With Python written by Wolf Blitzer and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-22 with Computers categories.
Are your tests keeping up with your code? Can artificial intelligence make your QA process faster, smarter, and more reliable? What if you could automate your testing pipeline-from code to deployment-using one powerful language: Python? In today's world of rapid software delivery, traditional testing is no longer enough. AI-Driven Quality Assurance with Python: Streamlining Testing with Intelligence shows you how to harness the power of Pytest, Selenium, and AI-driven automation to revolutionize the way you test software. Whether you're a QA engineer, developer, or tech lead, this book gives you the tools to build intelligent, self-improving testing systems that adapt as your code evolves. Inside, you'll discover how to: Master Pytest for fast, maintainable unit and integration testing. Automate end-to-end web testing using Selenium and Python. Integrate AI-powered test generation to catch edge cases you never thought of. Build self-healing test suites that automatically adapt to code and UI changes. Incorporate intelligent QA pipelines into your CI/CD workflows for continuous quality. Apply real-world case studies from fintech, healthcare, and e-commerce industries. By the end, you'll know how to combine automation and intelligence to deliver more reliable software, faster-and position yourself at the forefront of modern QA innovation. If you're ready to move beyond repetitive manual testing and into the future of AI-enhanced quality assurance, this book is your roadmap. ✅ Future-proof your QA skills. ✅ Automate smarter. Test faster. Deliver better. ✅ Get your copy of AI-Driven Quality Assurance with Python today and transform the way you test software!
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.