Community:SummerOfCode10:Brainstorming: Difference between revisions

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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).


Comment: 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.
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)  
| ?
| ?
| 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.
|  
|}
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