An empirical study of analogy-based software fault prediction.
Ensuring quality and reliability in software is important with its growing use in day to day life. Having an estimate of the number of faults in software modules early in their life cycles will enable software project managers to direct testing efforts in those considered risky and reduce the waste of resources in testing the entire software system. Case-based reasoning, abbreviated CBR, is one of the methods which predicts the number of faults in a software.
| Authors: | Sundaresh, Nandini. |
|---|---|
| Institutions: | Florida Atlantic University |
| Subject: | Computer Science |
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