Statistical methods in software engineering. Reliability and risk (Q1304190)

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scientific article; zbMATH DE number 1350014
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English
Statistical methods in software engineering. Reliability and risk
scientific article; zbMATH DE number 1350014

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    Statistical methods in software engineering. Reliability and risk (English)
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    12 October 1999
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    This monograph presents the major results of research on uncertainties in software engineering. It brings a framework for using quantitative measures for decision making in this context. In particular, this book describes the quality of the software in terms of the probability of not encountering any bug over a specified period of time. A large number of probability models have been proposed to address this topic. The analyses of failure date are performed using the techniques of statistical inference and an overview on such techniques is given. An essential aspect of optimal testing of software is the design of an effective test plan. In this monograph, optimum testing is discussed. This book also develops some general techniques to assess the productivity of programming teams. Such assessments are useful for project planning, wherein it is necessary to have good estimates of the time and effort required to complete programming and coding tasks. This book is the most comprehensive and current for students, software engineers, and reliability analysts.
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