Abstract
When we decide the software quality on the basis of the software measurement, the transitive property which is a requirement for an equivalence relation is not always satisfied. Therefore, we propose a scheme for classifing the software quality that employs a tolerance relation instead of an equivalence relation. Given the experimental data set, the proposed scheme generates the tolerant classes for elements in the experiment data set, and generates the tolerant ranges for classfing the software quality by clustering the means of the tolerance classes. Through the experiment, we showed that the proposed scheme could product very useful and valid results. That is, it has no problems that we use as the criteria for classifing the software quality the tolerant ranges generated by the proposed scheme.
This study was supported by research funds from Chosun University, 2004.
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Choi, WK., Lee, SJ., Chung, IY., Bae, YG. (2006). The Classification of the Software Quality by Employing the Tolerence Class. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3983. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751632_89
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DOI: https://doi.org/10.1007/11751632_89
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