An empirical study based on semi-supervised hybrid self-organizing map for software fault prediction
Software testing is a crucial task during software development process with the potential to save time and budget by recognizing defects as early as possible and delivering a more defect-free product. To improve the testing process, fault prediction approaches identify parts of the system that are m...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Elsevier
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/57752/ http://dx.doi.org/ 10.1016/j.knosys.2014.10.017 |
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| Institution: | Universiti Teknologi Malaysia |