| Description |
1 online resource (150 pages) |
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digital rdatr |
| Note |
"BCS Learning & Development Limited" |
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<ol>IntroductionAI Trustworthiness and QualityQuality and BiasTesting Machine Learning SystemsAI-based Test AutomationOntologies for Software TestingShifting Right into the Metaverse with Digital Twin Testing</ol> |
| Summary |
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. |
| Biography |
The authors of this book are industry experts across the fields of software testing and artificial intelligence. |
| Subject |
Artificial intelligence.
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Computer software -- Testing.
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Intelligence artificielle. |
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artificial intelligence. |
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Software testing & verification. |
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Computer programming / software development. |
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Artificial intelligence. |
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Machine learning. |
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Artificial intelligence |
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Computer software -- Testing |
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Software testing and verification. |
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Computer programming / software engineering. |
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Artificial intelligence. |
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Machine learning. |
| Indexed Term |
Software Testing & QA |
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Digital business & innovation |
| Added Author |
Black, Rex, 1964- author.
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Davenport, James author.
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Olszewska, Joanna Dr author.
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Rossler, Jeremias Dr author.
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Wright, Jonathon author.
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| Other Form: |
Print version: 9781780175768 |
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Print version: 9781780175775 |
| ISBN |
1780175787 (electronic bk.) |
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9781780175782 (electronic bk.) |
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1780175779 (electronic bk.) |
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9781780175775 (electronic bk.) |
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