Article ID Journal Published Year Pages File Type
388444 Expert Systems with Applications 2008 11 Pages PDF
Abstract

In this paper we apply Regression via Classification (RvC) to the problem of estimating the number of software defects. This approach apart from a certain number of faults, it also outputs an associated interval of values, within which this estimate lies with a certain confidence. RvC also allows the production of comprehensible models of software defects exploiting symbolic learning algorithms. To evaluate this approach we perform an extensive comparative experimental study of the effectiveness of several machine learning algorithms in two software data sets. RvC manages to get better regression error than the standard regression approaches on both datasets.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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