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

Nozer D. Singpurwalla (Author), Simon P. Wilson (Author)

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Book Description

August 5, 1999 0387988238 978-0387988238 1
In establishing a framework for dealing with uncertainties in software engineering, and for using quantitative measures in related decision-making, this text puts into perspective the large body of work having statistical content that is relevant to software engineering. Aimed at computer scientists, software engineers, and reliability analysts who have some exposure to probability and statistics, the content is pitched at a level appropriate for research workers in software reliability, and for graduate level courses in applied statistics computer science, operations research, and software engineering.

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Inside This Book (learn more)
First Sentence:
Since the dawn of the computer age, in the 1940s, we have witnessed a prodigious increase in the performance and use of computers. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
concatenated failure rate function, prequential prediction, rejection kernel, lookahead plan, interfailure times, software failure process, prequential likelihood ratio, software failure data, describing software failures, exponentiation formula, random coefficient autoregressive process, counting process models, software reliability models, failure rate model, exchangeable model, software reliability modeling, partition testing, maturity questionnaire, independent increments property, key process area, point process models, optimal testing, software development houses, operational profile, predictive distribution
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Statistical Analysis of Software Failure Data, Gaussian Kalman, Failure Number, Other Developments, Examples of Optimal Testing Plans, Exchangeable Adaptive Non-Gaussian Concatenated Times, Number Interfailure, Verify Equations, Continued Failure Observed One-Step-Ahead Predicted Times, Maximization of Likelihood, Unification of Software Reliability Models, Markov Chain Monte Carlo, User User
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