Ai Testing
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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.
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 Vs Ml
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Author : Kai Turing
language : en
Publisher: Publifye AS
Release Date : 2025-01-17
Ai Vs Ml written by Kai Turing and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-17 with Computers categories.
'AI vs ML' provides a comprehensive exploration of the often-misunderstood distinction between artificial intelligence and machine learning, offering clarity through historical context, practical applications, and technical frameworks. The book traces the parallel evolution of these technologies from the 1950s Dartmouth Conference to their current state, demonstrating how ML developed as a specialized subset of AI focused on data-driven learning systems, while AI encompasses broader attempts to simulate human intelligence. Through three well-structured sections, the book examines fundamental concepts like neural networks and deep learning, before diving into real-world applications across industries such as healthcare and finance. What sets this work apart is its practical framework for decision-makers, helping them evaluate whether their specific technical challenges require AI, ML, or a combination of both. The book supports its analysis with academic research and industry case studies, providing quantitative metrics on performance and economic impact. The content progresses logically from theoretical foundations to practical implementation strategies, incorporating decision trees and evaluation matrices for technology selection. Written in an accessible yet technical style, it serves both as an educational resource and a decision-making guide for technology managers and business strategists. The book maintains objectivity throughout, addressing key debates about AI safety and ML bias while avoiding speculative predictions about future capabilities, making it particularly valuable for professionals involved in digital transformation initiatives.
Ai Enabled Electronic Circuit And System Design
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Author : Ali Iranmanesh
language : en
Publisher: Springer Nature
Release Date : 2025-01-27
Ai Enabled Electronic Circuit And System Design written by Ali Iranmanesh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-27 with Computers categories.
As our world becomes increasingly digital, electronics underpin nearly every industry. Understanding how AI enhances this foundational technology can unlock innovations, from smarter homes to more powerful gadgets, offering vast opportunities for businesses and consumers alike. This book demystifies how AI streamlines the creation of electronic systems, making them smarter and more efficient. With AI’s transformative impact on various engineering fields, this resource provides an up-to-date exploration of these advancements, authored by experts actively engaged in this dynamic field. Stay ahead in the rapidly evolving landscape of AI in engineering with “AI-Enabled Electronic Circuit and System Design: From Ideation to Utilization,” your essential guide to the future of electronic systems. !--[endif]--A transformative guide describing how revolutionizes electronic design through AI integration. Highlighting trends, challenges and opportunities; Demystifies complex AI applications in electronic design for practical use; Leading insights, authored by top experts actively engaged in the field; Offers a current, relevant exploration of significant topics in AI’s role in electronic circuit and system design. Editor’s bios. Dr. Ali A. Iranmanesh is the founder and CEO of Silicon Valley Polytechnic Institute. He has received his Bachelor of Science in Electrical Engineering from Sharif University of Technology (SUT), Tehran, Iran, and both his master’s and Ph.D. degrees in Electrical Engineering and Physics from Stanford University in Stanford, CA. He additionally holds a master’s degree in business administration (MBA) from San Jose State University in San Jose, CA. Dr. Iranmanesh is the founder and chairman of the International Society for Quality Electronic Design (ISQED). Currently, he serves as the CEO of Innovotek. Dr. Iranmanesh has been instrumental in advancing semiconductor technologies, innovative design methodologies, and engineering education. He holds nearly 100 US and international patents, reflecting his signifi cant contributions to the field. Dr. Iranmanesh is the Senior life members of EEE, senior member of the American Society for Quality, co-founder and Chair Emeritus of the IEEE Education Society of Silicon Valley, Vice Chair Emeritus of the IEEE PV chapter, and recipient of IEEE Outstanding Educator Award. Dr. Hossein Sayadi is a Tenure-Track Assistant Professor and Associate Chair in the Department of Computer Engineering and Computer Science at California State University, Long Beach (CSULB). He earned his Ph.D. in Electrical and Computer Engineering from George Mason University in Fairfax, Virginia, and an M.Sc. in Computer Engineering from Sharif University of Technology in Tehran, Iran. As a recognized researcher with over 14 years of research experience, Dr. Sayadi is the founder and director of the Intelligent, Secure, and Energy-Efficient Computing (iSEC) Lab at CSULB. His research focuses on advancing hardware security and trust, AI and machine learning, cybersecurity, and energy-efficient computing, addressing critical challenges in modern computing and cyber-physical systems. He has authored over 75 peer-reviewed publications in leading conferences and journals. Dr. Sayadi is the CSU STEM-NET Faculty Fellow, with his research supported by multiple National Science Foundation (NSF) grants and awards from CSULB and the CSU Chancellor’s Office. He has contributed to various international conferences as an organizer and program committee member, including as the TPC Chair for the 2024 and 2025 IEEE ISQED.
Artificial Intelligence With Agile
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Author : Peter Johnson
language : en
Publisher: HiTeX Press
Release Date : 2024-09-12
Artificial Intelligence With Agile written by Peter Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-12 with Computers categories.
"Artificial Intelligence with Agile: Integrating AI in Your Projects" is a comprehensive guide that bridges the gap between AI technologies and Agile methodologies. It is designed to equip professionals with the knowledge and skills needed to effectively integrate AI into Agile projects. The book offers an in-depth exploration of AI's core concepts, applications across various industries, and the principles of Agile project management. By combining detailed theoretical insights with practical examples and case studies, the text provides readers with a well-rounded understanding of how these two powerful paradigms can be synchronized to enhance project outcomes. This book covers a broad spectrum of topics, from planning and requirement gathering for AI projects to the intricacies of building AI-powered systems. It delves into essential areas such as data management, continuous integration and deployment, and the testing and validation of AI systems. Additionally, it addresses critical ethical and governance aspects and offers strategies for scaling and optimizing AI solutions. By the end of this book, readers will have a clear roadmap for leveraging AI's capabilities within the Agile framework, ensuring successful and efficient project execution.
Intelligent Assurance Artificial Intelligence Powered Software Testing In The Modern Development Lifecycle
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Author : Partha 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 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.
Mastering Design Patterns For Layered Testing Master Strategic Test Design Enhance Automation And Integrate Ci Cd Seamlessly Across Api And Ui Layers With Python
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Author : Manish Saini
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-04-19
Mastering Design Patterns For Layered Testing Master Strategic Test Design Enhance Automation And Integrate Ci Cd Seamlessly Across Api And Ui Layers With Python written by Manish Saini and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-19 with Computers categories.
Master Layered Test Automation and Build Integrate and Deploy with Confidence Key Features● Implement automated testing across UI, API, and backend for robust coverage● Seamlessly integrate test automation with CI/CD pipelines for efficiency● Master advanced testing strategies for microservices and distributed systems Book DescriptionIn today’s fast-paced software development landscape, ensuring application quality requires a strategic approach to test automation. Mastering Design Patterns for Layered Testing empowers you with the knowledge and tools to design, implement, and optimize automation across UI, API, and backend layers using Python’s powerful ecosystem. Starting with foundational concepts like test design patterns and the Test Pyramid, the book delves into practical implementations of unit testing, integration testing, API testing, and contract testing. You’ll learn how to integrate automated tests into CI/CD pipelines using GitHub Actions, generate detailed test reports with Allure, and address modern testing challenges such as microservices and containerized environments. Real-world case studies illustrate how to apply these techniques in production settings. A dedicated chapter on Generative AI in testing explores its applications in test case generation and test data creation. Whether you're an intermediate tester looking to enhance your automation skills or an experienced professional seeking to learn advanced strategies, this book provides the expertise needed to build scalable and reliable test automation frameworks that drive software quality and efficiency. Stay ahead of the curve—master next-gen test automation before it’s too late! What you will learn● Design and implement scalable test automation across all application layers● Build robust test frameworks using Python’s advanced testing ecosystem● Seamlessly integrate automated tests into modern CI/CD pipelines● Apply advanced testing patterns for APIs, microservices, and UI components● Utilize contract testing and performance testing for reliable applications● Leverage Generative AI to enhance test coverage and efficiency
Artificial Intelligence For Cloud Native Software Engineering
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Author : Chelliah, Pethuru Raj
language : en
Publisher: IGI Global
Release Date : 2025-05-07
Artificial Intelligence For Cloud Native Software Engineering written by Chelliah, Pethuru Raj and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-07 with Computers categories.
Artificial intelligence is transforming software engineering by automating development, testing, deployment, and security processes, leading to more efficient and high-quality software solutions. AI-powered tools enhance scalability, reliability, and real-time analytics, enabling businesses to optimize operations and improve decision-making. As cloud-native architectures gain traction, AI-driven innovations are reshaping the way software is designed, maintained, and evolved, driving a new era of intelligent and adaptive technology solutions. Artificial Intelligence for Cloud-Native Software Engineering explores the transformative impact of AI on the software engineering lifecycle, highlighting its role in automating and enhancing various stages of software development. It provides a comprehensive overview of how AI technologies can assist software architects and engineers in creating high-quality, enterprise-grade software efficiently. Covering topics such as source code creation, data security, and multiparameter optimization, this book is an excellent resource for software engineers, computer scientists, professionals, researchers, scholars, academicians, and more.
Artificial Intelligence Ethics
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Author : Azhar Zia-ur-Rehman
language : en
Publisher: AuthorHouse
Release Date : 2025-04-17
Artificial Intelligence Ethics written by Azhar Zia-ur-Rehman and has been published by AuthorHouse this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Business & Economics categories.
Artificial intelligence (AI) has permeated every aspect of life. Like every other technology, AI poses risk and raises questions on ethics related to its design, development, deployment, use, and retirement. While a completely ethical AI may not be possible to achieve, it is possible to assess the maturity of the ethics of certain AI-based system, or that of an organization that employs AI. This book presents a comprehensive framework designed to guide organizations in assessing and enhancing the ethical maturity of their AI systems. It provides a structured approach to evaluating AI ethics across multiple dimensions, including governance, transparency, accountability, fairness, and privacy. By using this framework, organizations can identify areas of strength and opportunities for improvement, enabling them to develop AI systems that are not only technically robust but also ethically sound. This book is just the beginning of a whole new domain of AI ethics maturity assessment in which the author plans to establish a certification body for certifying systems and organizations on the maturity of their AI ethics. The author may be approached for partnership in this regard at [email protected].
Web Automation Testing Using Playwright
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Author : Kailash Pathak
language : en
Publisher: BPB Publications
Release Date : 2024-12-13
Web Automation Testing Using Playwright written by Kailash Pathak and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-13 with Computers categories.
DESCRIPTION The purpose of the book Web Automation Testing Using Playwright is to teach you how to use Playwright to automate your web testing. Playwright, a powerful automation tool developed by Microsoft, is a modern web automation framework that is fast, reliable, and easy to use. This book begins by introducing automation testing, its benefits, and Playwright, covering setup, scripting, and Playwright's architecture. It guides you through creating frameworks, selector strategies, and handling complex web elements like shadow DOM and iframes. Explore Playwright features such as Codegen, Inspector, UI mode, debugging with Trace Viewer, and generating detailed reports. Learn advanced techniques like building frameworks using Page Object Model (POM), integrating Cucumber/BDD, API testing, HTTP request interception, and accessibility and visual testing. Additionally, the book explores test execution in CI/CD tools, parallel testing, AI-driven test automation, leveraging generative AI like ChatGPT, and future trends in test automation. By the end of this book, you will be a web automation expert, writing efficient tests that validate web app functionality. Automate complex scenarios, handle edge cases, and leverage AI for intelligent testing. KEY FEATURES ● Master the intricacies of Playwright's architecture, features, and best practices. ● Learn how to apply Playwright to automate real-world web applications. ● Tips, tricks, and best practices for efficient and effective web automation using Playwright. WHAT YOU WILL LEARN ● Writing testing scripts for end-to-end, functional, API, accessibility, and visual tests with Playwright. ● Mastering UI elements like alerts, tabs, drag-and-drop, iframes, and shadow DOM handling. ● Debugging effectively using Playwright features like Codegen, Inspector, UI mode, and Trace Viewer. ● Implementing Cucumber/BDD, Page Object Model (POM), and CI/CD pipeline integration with Playwright. ● Leveraging AI tools for test automation, including script creation, debugging, and understanding generative AI like ChatGPT. WHO THIS BOOK IS FOR The target audience for this book is test automation engineers, web developers, product owners, and anyone who wants to learn about tool Playwright and test their application from scratch to the end of the applications. TABLE OF CONTENTS 1. Introduction to Playwright 2. Getting Started with Playwright 3. Locator Strategies and Handling Various Actions 4. Handling Complex Elements 5. Exploring Playwright Tools in Depth 6. Reporter, Assertion, Annotations, and Hooks in Playwright 7. Page Object Model Pattern in Playwright 8. Playwright Cucumber/BDD Framework Integration 9. API Testing Using Playwright, Authentication, and Session Storage 10. Accessibility Testing with Playwright 11. Visual Testing with Playwright 12. Integrate Playwright Tests with CI/CD and Run Tests in Parallel 13. Using AI with Playwright for E2E Testing