Published November 7, 2020
| Version v1
Dataset
Open
Software maintainability prediction
Authors/Creators
- 1. Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
Description
The pre-processing techniques were applied in the bug prediction datasets published in http://bug.inf.usi.ch/download.php by D'Ambros et al to produce a new version of these datasets that are suitable for software maintainability prediction. The independent variables are CK and OO metrics and the dependent variables is CHANGE metric.
Files
Files
(412.3 kB)
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md5:2d7241807153065b0ca465c1736330d5
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Additional details
References
- An Extensive Comparison of Bug Prediction Approaches Marco D'Ambros, Michele Lanza, Romain Robbes In Proceedings of MSR 2010 (7th IEEE Working Conference on Mining Software Repositories), pp. 31 - 41. IEEE CS Press, 2010.