Comparing models for identifying fault-prone software components

Abstract

We present an empirical investigation of the modeling techniques for identifying fault-prone software components early in the software life cycle. Using software complexity measures, the techniques build models which classify components as likely to contain faults or not. The modeling techniques applied in this study cover the main classification paradigms… (More)

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@inproceedings{Lanubile1995ComparingMF, title={Comparing models for identifying fault-prone software components}, author={Filippo Lanubile and A. Lonigro and Giuseppe Vissagio}, booktitle={SEKE}, year={1995} }