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Hypothesis testing for module test in software development

Authors: Tsuneo Yamaura; Akira K. Onoma; Wei-Tek Tsai;

Hypothesis testing for module test in software development

Abstract

One of the most important issues in the software development is how to guarantee that the software satisfies the quality defined in the requirement specification. This paper proposes that the issue can be solved, first the number of test cases is statistically calculated from the failure density defined in the requirement specification, then the selected test cases are executed basing on the hypothesis testing. This paper also presents how our method can be used for debugging. When the number of the test cases is calculated, we applied the statistical behavior of the software quality to the integration testing. We, however, did not consider the ripple effect since it is unable to measure. In order to guarantee the quality of 4/spl sigma/, and 5/spl sigma/, we found that many more test cases are needed than is previously believed enough.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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