Statistical Methods in Software Engineering : Reliability and Risk (Springer Series in Statistics)

Statistical Methods in Software Engineering : Reliability and Risk (Springer Series in Statistics)

Editorial Reviews
Book Description
This book establishes a framework for dealing with uncertainties in software engineering, and for using quantitative measures for decision making in this context. It brings in perspective the large body of work having statistical content that is relevant to software engineering. The audience is computer scientists, software engineers, and reliability analysts, who have some exposure to probability and statistics. The content is pitched at a level that is appropriate for research workers in software reliability, and for graduate level courses in applied statistics computer science, operations research, and software engineering.

Book Info
Establishes a framework for dealing with uncertainties in software engineering, and using quantitative measures for decision making in this context. DLC: Software engineering.

Statistical Methods in Software Engineering: Reliability and Risk (Springer Series in Statistics),Nozer D. Singpurwalla,Simon P. Wilson,Springer,0387988238,Applied,Computer Mathematics,Computers - Languages / Programming,General,Mathematics,Probability & Statistics - General,Programming - Software Development,Science/Mathematics,Software Engineering,Statistical methods,Mathematics / Statistics,Probability & statistics

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