Report on results of Discriminant Analysis experiment
Schneidewind, Norman F.
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This is Report #1 in a series of reports on the NASA IV&V Facility Project ”Investigation of the Risk to Software Reliability and Maintainability of Requirements Changes”. This report covers the discriminate analysis experiment. In order to continue to make progress in software measurement, as it pertains to reliability and maintainability, we must shift the emphasis from design and code metrics to metrics that characterize the risk of making requirements changes. Although these software attributes can be difficult to deal with due to the fuzzy requirements from which they are derived, the advantage of have early indicators of future software problems outweighs this inconvenience. We developed an approach for identifying requirements change risk factors as predictors of reliability and maintainability problems. Our case example consists of twenty-four Space Shuttle change requests, nineteen risk factors, and the associated failures and software metrics. The approach can be generalized to other NASA domains with numerical results that would vary according to the application.
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