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 Название: Enhancing Software Fault Prediction With Machine Learning: Emerging Research and Opportunities
Автор: Ekbal Rashid
Издательство: IGI Global
Год: 2017
ISBN: 9781522531852
Серия: Advances in Systems Analysis, Software Engineering, and High Performance Computing
Формат: pdf, epub
Страниц: 129
Размер: 18,2 mb
Язык: English
Software development and design is an intricate and complex process that requires a multitude of steps to ultimately create a quality product. One crucial aspect of this process is minimizing potential errors through software fault prediction.
Enhancing Software Fault Prediction With Machine Learning: Emerging Research and Opportunities is an innovative source of material on the latest advances and strategies for software quality prediction. Including a range of pivotal topics such as case-based reasoning, rate of improvement, and expert systems, this book is an ideal reference source for engineers, researchers, academics, students, professionals, and practitioners interested in novel developments in software design and analysis.
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Автор: daromir 26-04-2018, 22:32 | Напечатать
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Enhancing Software Fault Prediction With Machine Learning: Emerging Research and Opportunities 
