Ai Testing

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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.

Artificial Intelligence Exam Prep

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Author : Cybellium Ltd
language : en
Publisher: Cybellium Ltd
Release Date : 2024-10-26

Artificial Intelligence Exam Prep written by Cybellium Ltd and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-26 with Study Aids categories.

Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com

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.

Introduction To Ai Testing

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Author : Iosif Itkin
language : en
Publisher: BCS, The Chartered Institute for IT
Release Date : 2025-08-29

Introduction To Ai Testing written by Iosif Itkin and has been published by BCS, The Chartered Institute for IT this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-29 with Computers categories.

This book offers a comprehensive introduction to AI and Machine Learning fundamentals, equipping software testers with the skills to effectively leverage AI-powered solutions for testing complex systems and AI applications. It also fully prepares readers for the ISTQB(R) Certified Tester AI Testing (CT-AI) certification exam. Written in a practical and accessible way, this book offers a structured approach to AI testing based on the ISTQB(R) CT-AI syllabus. This book is filled with practical examples, detailed explanations, industry insights, a mock exam and chapter-based questions to prepare readers for passing the ISTQB(R) CT-AI exam to obtain certification. The materials are designed for both university graduates and practitioners involved in testing AI-based systems or those seeking a deeper understanding of AI systems in general. It offers valuable take on into implementing AI-enabled solutions and enhancing the quality of AI-driven software, making it an indispensable resource.

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

Istqb Certified Tester Artificial Intelligence Ai Testing Ct Ai Exam Guide

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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :

Istqb Certified Tester Artificial Intelligence Ai Testing Ct Ai Exam Guide 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.

The ISTQB Certified Tester - Artificial Intelligence (AI) Testing (CT-AI) Exam book is a comprehensive guide designed to prepare candidates for the certification exam, focusing on the practical and theoretical aspects of testing AI-based systems. It is aimed at testers who are looking to expand their knowledge and skills in AI technologies and testing methodologies. Key Focus Areas in the Book: Introduction to AI and Machine Learning: The book provides a detailed explanation of the core AI and machine learning concepts, including supervised learning, unsupervised learning, and reinforcement learning. It outlines the differences and applications of these learning models in AI-based systems and their implications for testing. AI Testing Frameworks and Methodologies: It dives deep into testing AI systems, covering essential techniques like adversarial testing, metamorphic testing, A/B testing, and exploratory testing. The book emphasizes the importance of these methods in validating AI model behavior, accuracy, and performance under various conditions, particularly when the system is constantly learning and evolving. Challenges in AI Testing: A significant portion of the book addresses the unique challenges AI testing poses, such as ensuring explainability, handling bias, testing for transparency, and managing non-deterministic behaviors. These challenges are important to consider when testing AI systems, as they may operate in unpredictable or evolving ways. AI-Specific Quality Characteristics: It highlights critical quality attributes of AI systems, such as safety, reliability, and fairness. The book provides a clear framework for assessing these attributes during the testing process and offers strategies to mitigate risks, such as model bias, by identifying sources of potential error and system failure. Test Data and Test Oracles: The importance of test data in AI systems is discussed, particularly regarding how AI models are trained on diverse datasets and the risks involved in data poisoning or adversarial inputs. The book also covers the concept of "test oracles" in AI testing, explaining how they can be used to compare expected vs. actual results when testing AI systems that may not behave deterministically. Ethical Considerations in AI Testing: It outlines the ethical issues involved in AI testing, focusing on fairness, privacy, and ensuring that AI systems do not make biased or discriminatory decisions. Testers are encouraged to consider the broader impact of AI on society and to implement ethical testing practices. Practical Tools and Automation: The book also discusses the tools and technologies that can be used to automate testing processes for AI systems, including test automation frameworks, defect prediction systems, and regression testing tools, ensuring AI systems' effectiveness and efficiency. By the end of the book, testers will have a solid understanding of the principles, methodologies, and techniques necessary for testing AI systems, ensuring that they are robust, fair, and perform as expected in real-world applications. This makes the book an essential resource for anyone preparing for the ISTQB AI Testing certification exam.

Certified Tester Ai Testing Ct Ai Practice Exam

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Author : Anthony Daccache
language : en
Publisher: Anthony Daccache
Release Date :

Certified Tester Ai Testing Ct Ai Practice Exam written by Anthony Daccache and has been published by Anthony Daccache this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

The Certified Tester AI Testing (CT-AI) Practice Exam is a complete preparation resource designed to help you thoroughly master AI testing concepts and achieve your ISTQB® CT-AI certification. With AI rapidly transforming industries, the ability to test AI-powered systems accurately and ethically is a highly sought-after skill. This practice exam equips you with the knowledge, confidence, and test-taking strategies needed to excel. Inside, you’ll find carefully crafted, scenario-based questions that replicate the format, style, and complexity of the real CT-AI exam. Each question is mapped to the official CT-AI syllabus, covering key areas such as: Fundamentals of Artificial Intelligence and Machine Learning Unique testing challenges in AI-driven solutions Quality characteristics and risk-based testing for AI Test design techniques tailored to AI models and datasets Ethics, bias detection, and compliance considerations Detailed explanations accompany each answer, helping you understand the reasoning and reinforce your learning. Whether you’re a QA professional, AI engineer, or test manager, this resource will help you: Familiarize yourself with AI-specific testing terminology and concepts Practice applying theory to practical, real-world AI testing scenarios Improve speed and accuracy under exam conditions Perfect for self-paced learning, corporate training, or certification bootcamps, this practice exam is your ultimate study companion for CT-AI success.

Testing In The Digital Age

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Author : Humayun Shaukat
language : en
Publisher: Uitgeverij kleine Uil
Release Date : 2018-06-02

Testing In The Digital Age written by Humayun Shaukat and has been published by Uitgeverij kleine Uil this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-02 with Computers categories.

Testing in the digital age brings a new vision on test engineering, using new quality attributes that tackle intelligent machines and a roadmap split up in fi ve hops. With everything digital there are more possibilities for test automation and piles of (test) data growing out of control. Working together with robots (cobotics), using artifi cial intelligence in testing and eventually predict the occurrence of defects brings your testing to the digital age. We have interviewed companies on their view of digital testing. A glossary brings an extensive list of terms that supports you in all your test communications.

Adoption Of Production Testing And Artificial Insemination By Michigan Dairy Famers

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Author : Wendell Lee Kucker
language : en
Publisher:
Release Date : 1970

Adoption Of Production Testing And Artificial Insemination By Michigan Dairy Famers written by Wendell Lee Kucker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Artificial insemination categories.

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.