Statistical Software Engineering
Panel on Statistical Methods in Software Engineering, Commission on Physical Sciences, Mathematics, and Applications, Division on Engineering and Physical Sciences, National Research Council
National Academies Press, Mar 29, 1996 - Computers - 70 pages
This book identifies challenges and opportunities in the development and implementation of software that contain significant statistical content. While emphasizing the relevance of using rigorous statistical and probabilistic techniques in software engineering contexts, it presents opportunities for further research in the statistical sciences and their applications to software engineering.
It is intended to motivate and attract new researchers from statistics and the mathematical sciences to attack relevant and pressing problems in the software engineering setting. It describes the "big picture," as this approach provides the context in which statistical methods must be developed. The book's survey nature is directed at the mathematical sciences audience, but software engineers should also find the statistical emphasis refreshing and stimulating. It is hoped that the book will have the effect of seeding the field of statistical software engineering by its indication of opportunities where statistical thinking can help to increase understanding, productivity, and quality of software and software production.
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5ESS switch applications assessing Bellcore black box testing challenge Chapter code coverage color Combinatorial design combine information complexity component context cost estimation models cycle database defect display distribution document effects effort Eick engineers and statisticians environment error example experimental experiments exploratory data analysis factors failure Figure files Function call graphs graphics hardware historical data identify implementation important improving inputs interaction involve issues laboratory lines of code mathematical sciences measurements methodologies modules NCNCSLs number of faults panel possible prediction problem projects regression test relevant reliability models requirements safety-critical sample software dependability software development organizations software development process software metrics software production process software systems software testing source code space shuttle flight space shuttle program specific SSEM stage statistical approaches statistical community statistical methods statistical model statistical software engineering studies system testing system under test variables visualization techniques