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In order to achieve high accuracy, the AUBug takes three independent levels/parts to identify the similarity based on user given data of 1) stack trace or 2) source code and 3) textual information using Natural Language Processing (NLP). | In order to achieve high accuracy, the AUBug takes three independent levels/parts to identify the similarity based on user given data of 1) stack trace or 2) source code and 3) textual information using Natural Language Processing (NLP). | ||
Anti-unification techniques are generally used in detection similar code, but we applied it to bug report system. In Mozilla's bugzilla, user-generated bugs including stack trace and source code are rare, but it can be useful in developer-based bug system. | |||
|Louis Gong(HKUST), Channy Yun(SNU) | |Louis Gong(HKUST), Channy Yun(SNU) | ||
| ? | | ? | ||
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