Modeling and managing risk early in software development
作者： Christopher J. Hetmanski , William M. Thomas , Lionel C. Briand
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摘要: The authors present an automated modeling technique which can be used as alternative to regression techniques improve the quality of software development process. process will allow for reliable detection potential problem areas and interpretation cause so that most appropriate remedial action taken. It is shown it facilitate identification aid significant trends characterize high risk components in several Ada systems. effectiveness evaluated based on a comparison with logistic models. >
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jaxa.jp参考文章(17)
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