Artificial Intelligence and Software Testing: Building systems you can trust
Author: Mr. Rex Black (Author), James Davenport (Author), Joanna Olszewska (Author), Jeremias Rößler (Author), Jonathon Wright (Author), Adam Leon Smith (Editor)
Publisher finelybook 出版社: BCS, The Chartered Institute for IT
Publication Date 出版日期: 2022-03-10
Language 语言: English
Print Length 页数: 146 pages
ISBN-10: 1780175760
ISBN-13: 9781780175768
Book Description
WINNER Independent Press Awards 2023 – Category: Technology. AI presents a new paradigm in software development, representing the biggest change to how we think about quality and testing in decades. Many of the well known issues around AI, such as bias, manifest themselves as quality management problems. This book, aimed at testing and quality management practitioners who want to understand more, covers trustworthiness of AI and the complexities of testing machine learning systems, before pivoting to how AI can be used itself in software test automation.
Review
‘Artificial Intelligence and Software Testing’ is a valuable resource for anyone curious in how to approach testing AI models as they expand into our daily lives. This is a clear, informative read which discusses within each chapter different testing challenges with AI software and advice on how to handle them effectively. I can highly recommend this to testers and students alike. –Katy Hannath BSc(Hons), MSc in Artificial Intelligence and Data Science student, & Quality Assurance Tester, VISR Dynamics As the title describes, this book is a robust AI and ML testing exploration that also dives into the juxtaposition of the trustworthiness and bias in AI systems. It touches on the basis of ontologies and how to enable the considerable impact of testing and monitoring of AI-based systems. After reading this you would be able to answer an important challenge: how to determine that your AI system has been extensively tested? –Dina Dede, AI/ML and Cloud Architect Lead, UK AI-based systems conquer more and more areas of our daily life. People are concerned whether these systems are trustworthy. ‘Artificial Intelligence and Software Testing’ tackles this issue and provides an insight into AI quality and how it differs from conventional software quality, and where the difficulties and challenges are in testing machine learning systems. A great introduction into this topic and must read for all interested in building AI-based systems that you can trust. –Klaudia Dussa-Zieger, Chair GTB & Vice President ISTQB(R), Head of ISTQB(R) Certified Tester AI Testing (CT-AI) taskforce
About the Author
The authors of this book are industry experts across the fields of software testing and artificial intelligence.
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