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.

The authors of this book are industry experts across the fields of software testing and artificial intelligence.

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.

1. Introduction
2. AI Trustworthiness and Quality
3. Quality and Bias
4. Testing Machine Learning Systems
5. AI-based Test Automation
6. Ontologies for Software Testing
7. Shifting Right into the Metaverse with Digital Twin Testing