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Artificial Intelligence and Software Testing: Building systems you can trust
Independent Press Awards 2023 - Technology AI presents a new paradigm in the development of software, 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 explores AI from that angle and is aimed at testing and quality management practitioners who want to understand more, starting with the relationship between AI and trustworthiness, the issue of bias, and the complexities of testing machine learning systems. The book then pivots to cover how AI can be used itself in software test automation, before exploring the more advanced topic of ontologies, and how they can be brought together with AI and testing. Finally, examples of shift-right testing and AIOps are considered.
146 pages, Paperback
Published March 10, 2022
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September 17, 2023
For testers who plan to learn for the AI ISTQB exam, this book is a good companion. However, unlike other books written by Rex Black & friends, which are dedicated to the exams and they complete the ISTQB courses, this book does not follow the structure of the AI ISTQB course. Instead, the book consists of 7 chapters, written by different experts, which focus on different aspects related to AI testing. These chapters cover only some of the aspects contained by the course. The reason for this is stated explicitly by one of the authors: AI testing is at the beginning of the road and many novelties are expected to show up in this regard in the near future.
Displaying 1 of 1 review