Apply composed statistical model in program fault localization
Zhenxuan Luo · Jisuanji gongcheng yu sheji · 2010
To deal with the problems such as weak generalization,poor coverage on bug patterns and strong dependence on test suites that happened in applying unique statistical model in bug localization,a method of composed statistical model is proposed.Composed statistical model assembles several weak models into one system by weights according to their characteristics.This model,which has stronger capability on fault localization and noise tolerance,can find the bugs in various patterns effectively.The improvement on analysis performance and generalization is verified by comparative experiments between composed model and unique model.