Software fault prediction based on improved fuzzy clustering
Predicting parts of the software programs that are more defects prone could ease up the software testing process and helps effectively to reduce the cost and time of developments. Although many machine-learning and statistical techniques have been proposed widely for defining fault prone modules in...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Published: |
Springer Verlag
2014
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/62611/ http://dx.doi.org/10.1007/978-3-319-07593-8_21 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Teknologi Malaysia |