Sinopsis
This book presents a comprehensive framework that revolutionizes software quality assurance by leveraging the power of artificial intelligence and machine learning. Through the innovative integration of ensemble learning techniques and intelligent optimization algorithms, this book offers practical solutions to two critical challenges: efficient test case generation and accurate code smell detection. The author masterfully combines theoretical foundations with real-world applications, introducing novel approaches such as combinatorial optimization with improved genetic algorithms and enhanced harmony search for regression testing. Whether you're a software engineer, quality assurance professional, or researcher, this book provides the tools and methodologies needed to dramatically improve testing efficiency while reducing costs. With detailed case studies, empirical evaluations, and clear implementation guidelines, readers will learn how to implement state-of-the-art testing strategies that adapt to the increasing demands of modern software development.
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Software Testing based on Artificial Intelligence Technology
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Paperback. Condición: new. Paperback. This book presents a comprehensive framework that revolutionizes software quality assurance by leveraging the power of artificial intelligence and machine learning. Through the innovative integration of ensemble learning techniques and intelligent optimization algorithms, this book offers practical solutions to two critical challenges: efficient test case generation and accurate code smell detection. The author masterfully combines theoretical foundations with real-world applications, introducing novel approaches such as combinatorial optimization with improved genetic algorithms and enhanced harmony search for regression testing. Whether you're a software engineer, quality assurance professional, or researcher, this book provides the tools and methodologies needed to dramatically improve testing efficiency while reducing costs. With detailed case studies, empirical evaluations, and clear implementation guidelines, readers will learn how to implement state-of-the-art testing strategies that adapt to the increasing demands of modern software development. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9786209154355
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Software Testing based on Artificial Intelligence Technology
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Scholars' Press Nov 2025, 2025
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ISBN 13: 9786209154355
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Paperback. Condición: new. Paperback. This book presents a comprehensive framework that revolutionizes software quality assurance by leveraging the power of artificial intelligence and machine learning. Through the innovative integration of ensemble learning techniques and intelligent optimization algorithms, this book offers practical solutions to two critical challenges: efficient test case generation and accurate code smell detection. The author masterfully combines theoretical foundations with real-world applications, introducing novel approaches such as combinatorial optimization with improved genetic algorithms and enhanced harmony search for regression testing. Whether you're a software engineer, quality assurance professional, or researcher, this book provides the tools and methodologies needed to dramatically improve testing efficiency while reducing costs. With detailed case studies, empirical evaluations, and clear implementation guidelines, readers will learn how to implement state-of-the-art testing strategies that adapt to the increasing demands of modern software development. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9786209154355
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Paperback. Condición: new. Paperback. This book presents a comprehensive framework that revolutionizes software quality assurance by leveraging the power of artificial intelligence and machine learning. Through the innovative integration of ensemble learning techniques and intelligent optimization algorithms, this book offers practical solutions to two critical challenges: efficient test case generation and accurate code smell detection. The author masterfully combines theoretical foundations with real-world applications, introducing novel approaches such as combinatorial optimization with improved genetic algorithms and enhanced harmony search for regression testing. Whether you're a software engineer, quality assurance professional, or researcher, this book provides the tools and methodologies needed to dramatically improve testing efficiency while reducing costs. With detailed case studies, empirical evaluations, and clear implementation guidelines, readers will learn how to implement state-of-the-art testing strategies that adapt to the increasing demands of modern software development. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9786209154355
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Taschenbuch. Condición: Neu. Software Testing based on Artificial Intelligence Technology | Yinglei Song | Taschenbuch | Englisch | 2025 | Scholars' Press | EAN 9786209154355 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Nº de ref. del artículo: 134327046
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Software Testing based on Artificial Intelligence Technology
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ISBN 10: 6209154352
ISBN 13: 9786209154355
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a comprehensive framework that revolutionizes software quality assurance by leveraging the power of artificial intelligence and machine learning. Through the innovative integration of ensemble learning techniques and intelligent optimization algorithms, this book offers practical solutions to two critical challenges: efficient test case generation and accurate code smell detection. The author masterfully combines theoretical foundations with real-world applications, introducing novel approaches such as combinatorial optimization with improved genetic algorithms and enhanced harmony search for regression testing. Whether you're a software engineer, quality assurance professional, or researcher, this book provides the tools and methodologies needed to dramatically improve testing efficiency while reducing costs. With detailed case studies, empirical evaluations, and clear implementation guidelines, readers will learn how to implement state-of-the-art testing strategies that adapt to the increasing demands of modern software development.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 260 pp. Englisch. Nº de ref. del artículo: 9786209154355
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