This paper addresses identifying a related group of threads for a recent bug thread posted by a developer in the forum of open source software. A typical approach is to identify as the group of threads that is much similar to the recent bug thread. However, most of recent bug threads that are not related to any groups of threads are wrongly identified. Focusing on the peak characteristics that similarities to related group of threads are much higher than similarities to others, the proposed method identifies whether recent bug threads are related to a group of threads by Support Vector Machine with the peak characteristics of similarities. Experimental results show that the proposed method can keep the recall rate of 76% and improve the precision rate by 49% compared to the method using only thresholds for similarities.
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