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O. Mizuno and M. Nakai, "Can Faulty Modules Be Predicted by Warning Messages of Static Code Analyzer?," Advances in Software Engineering, 2012(924923), 8 pages, May 2012. | |
ID | 659 |
分類 | 学術論文誌(査読付) |
タグ | analyzer code faulty messages modules predicted static warning |
表題 (title) |
Can Faulty Modules Be Predicted by Warning Messages of Static Code Analyzer? |
表題 (英文) |
|
著者名 (author) |
Osamu Mizuno,Michi Nakai |
英文著者名 (author) |
Osamu Mizuno,Michi Nakai |
キー (key) |
Osamu Mizuno,Michi Nakai |
定期刊行物名 (journal) |
Advances in Software Engineering |
定期刊行物名 (英文) |
|
巻数 (volume) |
2012 |
号数 (number) |
924923 |
ページ範囲 (pages) |
8 pages |
刊行月 (month) |
5 |
出版年 (year) |
2012 |
Impact Factor (JCR) |
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URL |
http://www.hindawi.com/journals/ase/2012/924923/ |
付加情報 (note) |
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注釈 (annote) |
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内容梗概 (abstract) |
We have proposed a detection method of fault-prone modules based on the spam filtering technique, Fault-prone filtering. Fault- prone filtering is a method which uses the text classifier (spam filter) to classify source code modules in software. In this study, we propose an extension to use warning messages of a static code analyzer instead of raw source code. Since such warnings include useful information to detect faults, it is expected to improve the accuracy of fault-prone module prediction. From the result of experiment, it is found that warning messages of a static code analyzer are a good source of fault-prone filtering as the original source code. Moreover, it is discovered that it is more effective than the conventional method (that is, without static code analyzer) to raise the coverage rate of actual faulty modules. |
論文電子ファイル | published (application/pdf) [一般閲覧可] |
BiBTeXエントリ |
@article{id659, title = {Can Faulty Modules be Predicted by Warning Messages of Static Code Analyzer?}, author = {Osamu Mizuno and Michi Nakai}, journal = {Advances in Software Engineering}, volume = {2012}, number = {924923}, pages = {8 pages}, month = {5}, year = {2012}, } |