Artificial Intelligence and Software Testing

✍ Scribed by Rex Black, James Davenport, Joanna Olszewska, Jeremias Rößler, Jonathon Wright

Publisher: BCS, The Chartered Institute for IT
Year: 2022
Tongue: English
Leaves: 150
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

📜 SIMILAR VOLUMES

Artificial Intelligence Methods In Softw

📁 Artificial Intelligence Methods In Software Testing

✍ Mark Last; Abraham Kandel; Horst Bunke 📂 Library 📅 2004 🏛 World Scientific Publishing Company 🌐 English

An inadequate infrastructure for software testing is causing major losses to the world economy. The characteristics of software quality problems are quite similar to other tasks successfully tackled by artificial intelligence techniques. The aims of this book are to present state-of-the-art applicat

Artificial Intelligence and Software Tes

📁 Artificial Intelligence and Software Testing: Building systems you can trust

✍ Mr. Rex Black, James Davenport, Joanna Olszewska, Jeremias Rößler, Jonathon Wrig 📂 Library 📅 2022 🏛 BCS, The Chartered Institute for IT 🌐 English

<span>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 managemen

Civil Liability for Artificial Intellige

📁 Civil Liability for Artificial Intelligence and Software

✍ Mark A. Geistfeld , Ernst Karner , Bernhard A. Koch, Christiane Wendehorst 📂 Library 📅 2023 🏛 De Gruyter 🌐 English

Initiated by the European Commission, the first study published in this volume analyses the largely unresolved question as to how damage caused by artificial intelligence (AI) systems is allocated by the rules of tortious liability currently in force in the Member States of the European Union and in

Civil Liability for Artificial Intellige

📁 Civil Liability for Artificial Intelligence and Software

✍ Mark A. Geistfeld (editor); Ernst Karner (editor); Bernhard A. Koch (editor); Ch 📂 Library 📅 2022 🏛 De Gruyter 🌐 English

<p>Initiated by the European Commission, the first study published in this volume analyses the largely unresolved question as to how damage caused by artificial intelligence (AI) systems is allocated by the rules of tortious liability currently in force in the Member States of the European Union and

Civil Liability for Artificial Intellige

📁 Civil Liability for Artificial Intelligence and Software

✍ Mark A. Geistfeld (editor); Ernst Karner (editor); Bernhard A. Koch (editor); Ch 📂 Library 📅 2022 🏛 De Gruyter 🌐 English

Readings in artificial intelligence and

📁 Readings in artificial intelligence and software engineering

✍ Charles Rich; Richard C Waters 📂 Library 📅 1986 🏛 Morgan Kaufmann, Elsevier Inc 🌐 English

Readings in Artificial Intelligence and Software Engineering covers the main techniques and application of artificial intelligence and software engineering. The ultimate goal of artificial intelligence applied to software engineering is automatic programming. Automatic programming would allow a user