Artificial Intelligence and Software Testing

Building systems you can trust

By (author) Rex Black, James Davenport, Joanna Olszewska, Jeremias Rößler, Adam Leon Smith, Jonathon Wright Edited by Adam Leon Smith

Publication date:

10 March 2022

Length of book:

150 pages

Publisher

BCS, The Chartered Institute for IT

Dimensions:

244x170mm
7x10"

ISBN-13: 9781780175768

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.

Introduction
AI Trustworthiness and Quality
Quality and Bias
Testing Machine Learning Systems
AI-based Test Automation
Ontologies for Software Testing
Shifting Right into the Metaverse with Digital Twin Testing

A brilliant reference with a focus on introducing the reader to new AI ideas and challenges. The danger with AI and software testing is the mistaken belief that people understand it all. This book addresses this issue by opening the reader up to a rich source of references & useful concepts using use cases, models and references, to both stimulate and challenge the reader's own knowledge of this broad subject. Highly recommended.