An Identification Method of Related Group of Threads for a Recent Bug Thread by Peak Characteristics of Similarities

Abstract

This paper addresses the problem to identify the related group threads that has dependent relationships with recent bug threads. Because most of recent bug threads have no dependent relationships with group threads, basic approach based on similarity regards them as having dependent relationships wrongly. In this paper, we propose an identification method of related group threads by peak characteristics of similarities. The proposed method removes recent bug threads that have no dependent relationships by Support Vector Machine based on vectors representing peak characteristics of similarities between the recent bug thread and group threads. The application result shows that the precision rate is improved by 49% and the recall rate is kept 76% on average using the proposed method.