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Автор: Ron S. Kenett, Fabrizio Ruggeri, Frederick W. Faltin
Издательство: Wiley
Год: 2018
Язык: английский
Формат: True PDF
Размер: 21.4 MB
A comprehensive treatment of systems and software testing using state of the art methods and tools.
This book provides valuable insights into state of the art software testing methods and explains, with examples, the statistical and analytic methods used in this field. Numerous examples are used to provide understanding in applying these methods to real-world problems. Leading authorities in applied statistics, computer science, and software engineering present state-of-the-art methods addressing challenges faced by practitioners and researchers involved in system and software testing. Methods include: machine learning, Bayesian methods, graphical models, experimental design, generalized regression, and reliability modeling.