Artificial Intelligence and Software Testing: Building systems you can trust
- 2h 51m
- Adam Leon Smith, James Davenport, Jeremias Rößler, Joanna Olszewska, Jonathon Wright, Rex Black
- BCS
- 2022
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.
About the Author
The authors of this book are industry experts across the fields of software testing and artificial intelligence.
In this Book
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Abbreviations
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Glossary
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Introduction
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AI Trustworthiness and Quality
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Quality and Bias
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Testing Machine Learning Systems
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Ai-Based Test Automation
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Ontologies for Software Testing
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Shifting Right into the Metaverse with Digital Twin Testing
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References
