Sousuke Amasaki,Takashi Yoshitomi,Osamu Mizuno,Tohru Kikuno,Yasunari Takagi
According to a progress of the software process improvement, the
time series data on the number of faults detected by the software
testing are collected extensively. In this paper, we
perform statistical analyses of relationships between the time
series data and the field quality of software products.
At first, we apply the rank correlation coefficient $\tau$ to the
time series data collected from actual software testing in a
certain company, and classify these data into four types of trends:
strict increasing, almost increasing, almost decreasing, and
strict decreasing. We then investigate, for each type of trend,
the field quality of software products developed by the
corresponding software projects. As a result of statistical
analyses, we showed that software projects having trend of almost or
strict decreasing in the number of faults detected by the software
testing could produce the software products with high quality.
Sousuke Amasaki,Takashi Yoshitomi,Osamu Mizuno,Tohru Kikuno,Yasunari Takagi
Sousuke Amasaki,Takashi Yoshitomi,Osamu Mizuno,Tohru Kikuno,Yasunari Takagi
Proc. of 11th Asian Test Symposium (ATS02)
139
11
Guam, USA.
272-277
1
Statistical analysis of time series data on the number of faults detected by software testing
2002