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10.5555/783737.784025guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Statistical Analysis of Time Series Data on the Number of Faults Detected by Statistical Analysis of Time Series Data on the Number of Faults Detected by Software Testing

Published: 18 November 2002 Publication History

Abstract

According to a progress of the software process improvement,the time series data on the number of faults detectedby the software testing are collected extensively. In thispaper, we perform statistical analyses of relationships betweenthe time series data and the field quality of softwareproducts.At first, we apply the rank correlation coefficient to thetime series data collected from actual software testing in acertain company, and classify these data into four types oftrends: strict increasing, almost increasing, almost decreasing,and strict decreasing. We then investigate, for each typeof trend, the field quality of software products developed bythe corresponding software projects. As a result of statisticalanalyses, we showed that software projects having trendof almost or strict decreasing in the number of faults detectedby the software testing could produce the softwareproducts with high quality.Keywords: software testing, software quality, statisticalanalysis.

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Published In

cover image Guide Proceedings
ATS '02: Proceedings of the 11th Asian Test Symposium
November 2002
ISBN:0769518257

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IEEE Computer Society

United States

Publication History

Published: 18 November 2002

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