Organizations are increasingly embracing intelligent automation to deliver efficiencies and free up resources. These solutions are applied to various tasks across industries, with artificial intelligence (AI) providing vital brainpower.
This book is a comprehensive journey through a number of topics relating to AI and software quality, which is a hot topic for practitioners, as well as policy makers and academics.
In this book, you will learn:
- Chapter 1: The Challenges of Testing AI
- Chapter 2: AI Trustworthiness of Quality
- Chapter 3: Quality & Bias
- Chapter 4: Testing Machine Learning Systems
- Chapter 5: AI-Based Test Automation
- Chapter 6: Ontologies for Software Testing
- Chapter 7: Shifting Right Into the Metaverse with Digital Twin Testing
