Statistical Software Engineering (1996) / Chapter Skim
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Introduction
Introduction
Pages 5-8
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From page 5... ...
From the industrial perspective, so also are issues concerned with improving the quality and productivity of the software development process. Yet statistical methods, despite the long history of their impact in manufacturing as well as in traditional areas of science, technology, and medicine, have as yet had little impact on either hardware or software development.
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From page 6... ...
It is hoped that this report will play a similar role in seeding the field of statistical software engineering by indicating opportunities for statistical thinking to help increase understanding, as well as the productivity and quality, of software and software production. In preparing this report, the panel struggled with the problem of providing the "big picture" of the software production process, while simultaneously attempting to highlight opportunities for related research on statistical methods.
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From page 7... ...
Subsequent attempts at retrospective analysis to help forecast costs for a new product or identify root causes of faults found during product testing—are inconclusive when speculation rather than hard data is all that is available to work with. But even software development organizations that realize the importance of historical data can get caught in a downward spiral: effort is expended on collection of data that initially are insufficient to support inferences.
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From page 8... ...
Although difficult issues are posed by the need to adjust appropriately for differences in projects, the inconsistency of metrics, and varying degrees of data quality, the availability of a data repository at least allows for such research to begin. Although this report serves as a review of the software production process and related research to date, it is necessarily incomplete.
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