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Artificial Intelligence and Software Testing Building systems you can trust

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 prac...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Smith, Adam Leon (Autor), Black, Rex, 1964- (Autor), Davenport, James (Autor), Olszewska, Joanna Dr (Autor), Rossler, Jeremias Dr (Autor), Wright, Jonathon (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Swindon BCS, The Chartered Institute for IT ©2022
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario: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.
Notas:"BCS Learning & Development Limited"
<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>
Descripción Física:1 online resource (150 pages)
ISBN:1780175787
9781780175782
1780175779
9781780175775