Change-Prone Java Method Prediction by Focusing on Individual Differences in Comment Density
This paper focuses on differences in comment densities among individual programmers, and proposes to adjust the conventional code complexity metric (the cyclomatic complexity) by using the abnormality of the comment density. An empirical study with nine popular open source Java products (including 1...
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| Veröffentlicht in: | IEICE Transactions on Information and Systems 2017/05/01, Vol.E100.D(5), pp.1128-1131 |
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| container_title | IEICE Transactions on Information and Systems |
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| creator | BURHANDENNY, Aji ERY AMAN, Hirohisa KAWAHARA, Minoru |
| description | This paper focuses on differences in comment densities among individual programmers, and proposes to adjust the conventional code complexity metric (the cyclomatic complexity) by using the abnormality of the comment density. An empirical study with nine popular open source Java products (including 103,246 methods) shows that the proposed metric performs better than the conventional one in predicting change-prone methods; the proposed metric improves the area under the ROC curve (AUC) by about 3.4% on average. |
| doi_str_mv | 10.1587/transinf.2016EDL8224 |
| format | Article |
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| source | J-STAGE Free; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | AUC change-prone method comment density Complexity individual difference Java Predictions ROC curve |
| title | Change-Prone Java Method Prediction by Focusing on Individual Differences in Comment Density |
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