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035   $a(OCoLC)1299383268
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035   $a(CaSebORM)9781780175782
035   $a(BIP)082380559
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100   $a20221004d2022      uy             0
101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aArtificial intelligence and software testing $ebuilding systems you can trust /$fAdam Leon Smith [and five others]
210  1$aSwindon, UK :$cBCS Learning and Development Ltd,$d[2022]
210  4$d©2022
215   $a1 online resource (194 pages)
311 08$aPrint version: Smith, Adam Leon Artificial Intelligence and Software Testing Swindon : BCS Learning & Development Limited,c2022 
327   $aFront Cover -- Half-Title Page -- Bcs, The Chartered Institute For It -- Title Page -- Copyright Page -- Contents -- List of figures and tables -- About the authors -- Abbreviations -- Glossary -- Preface -- 1. Introduction -- The challenges of testing AI -- Summary -- 2. AI Trustworthiness and Quality -- Trustworthiness -- AI quality problems -- A model for measuring AI quality -- Regulation of AI quality -- Summary -- 3. Quality and Bias -- Consequences of the bias definition -- Bias in everyday life -- Unintended bias -- Simpson's paradox -- Summary -- 4. Testing Machine Learning Systems -- The role of a tester -- The nature of ML -- Testing metrics -- Testing techniques -- Testing AI-specific characteristics -- Non-deterministic systems -- Transparency, explainability and interpretability -- Summary -- 5. AI-based Test Automation -- Quality assurance -- Testing versus test automation -- AI in unit test automation -- AI in UI level test automation -- Applying AI to other tasks in software quality assurance -- Evaluating tool support for testing -- Tasks that will likely remain challenging for AI -- Summary -- 6. Ontologies for Software Testing -- About ontologies -- Using ontologies for software testing -- Trends in ontology-driven software testing -- Summary -- 7. Shifting Right into the Metaverse with Digital Twin Testing -- The shift-right approach to testing -- Cognitive engineering principles -- Digital twin concept in shifting right -- Case study: helping the community stay safe during the pandemic -- Case study: Smart City Data Exchange - testing in the metaverse -- Shifting right into the metaverse -- Evolution, over revolution -- Summary -- References -- Index.
330   $aAI presents a new paradigm in the development of software, representing the biggest change to how we think about quality and testing in decades. Many well known issues around AI manifest 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.
606   $aArtificial intelligence
610   $aComputer Software
610   $aArtificial Intelligence
610   $aMachine Learning
610   $aComputers
615  0$aArtificial intelligence.
676   $a006.3
700   $aSmith$b Adam Leon$01516420
702   $aBlack$b Rex
702   $aDavenport$b James
702   $aOlszewska$b Joanna
702   $aRo?ßler$b Jeremias
702   $aWright$b Jonathon
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910795666703321
996   $aArtificial intelligence and software testing$93752888
997   $aUNINA