Comparing models for identifying fault-prone software components

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Summary

An empirical investigation of the modeling techniques for identifying fault-prone software components early in the software life cycle finds that no model is able to discriminate between components with faults and components without faults.

Type
article
Published
1995-01-01
Cited by
88
References
32

Keywords

Computer science, Software quality, Data mining, Principal component analysis, Software

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