Method Clone Detection Using Text Mining Techniques

テキスト　マイニング　ギジュツ　ヲ　オウヨウ　シタ　メソッド　クローン　ケンシュツ　シュホウ　ノ　テイアン

吉田, 則裕

崔, 恩瀞

井上, 克郎

ジョウホウ　ショリ　ガッカイ

ソフトウェア保守

テキストマイニング

Code Clone

Software Maintenance

Text Mining

Code clone (i.e., code fragment that has identical or similar fragment in source code) is one of the major problems for software maintenance. Software developers can increase the maintainability and the readability of source code by merging them (e.g., create library, pull up method). At present, a lot of techniques have been done on the detection of code clones in source code. However, most of them focus on structural similarities. Moreover, the detection techniques that focus on semantic similarities lack the scalability for large-scale source code. In this study, we propose a technique to detect method clones using text mining techniques (i.e., data mining technique intended for natural language text). In our approach, we generate feature vectors for each method by weighting words in identifier and syntactic keyword based on the important degree of them. And then, we detect method clones based on the similarity among the feature vectors. We believe that our technique can perform the scalable detection of similar method clones from source code.

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吉田, 則裕

崔, 恩瀞

井上, 克郎