Artificial Intelligence and Software Testing Building systems you can trust.

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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 well known issues around AI manifest as quality management problems. This book explores AI from that angle and is aimed at testing and quality managem...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Smith, Adam Leon
Otros Autores: Black, Rex, Davenport, James, Olszewska, Joanna, Rößler, Jeremias, Wright, Jonathon
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Swindon : BCS Learning & Development Limited, 2022.
Temas:
Artificial intelligence.
Intelligence artificielle.
artificial intelligence.
Artificial intelligence
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front 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

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