%A CHEN Xiang, WANG Qiu-ping %T Multi-objective Supervised Defect Prediction Modeling Method Based on Code Changes %0 Journal Article %D 2018 %J Computer Science %R 10.11896/j.issn.1002-137X.2018.06.028 %P 161-165 %V 45 %N 6 %U {https://www.jsjkx.com/CN/abstract/article_84.shtml} %8 2018-06-15 %X Defect prediction based on code changes has the advantage of smaller code inspection cost,easy fault localization and rapid fixing.This paper firstly formalized this problem as a multi-objective optimization problem.One objective is to maximize the number of identified buggy changes,and the other objective is to minimize the cost of code inspection.There exist an obvious conflict between two objectives,so this paper proposed a novel method MULTI.This me-thod can generate a set of non-dominated prediction models.In the empirical studies,this paper chose six large-scale open source projects (with 227417code changes in total) and considerd ACC and POPT as evaluation indicators of perfor-mance.Final results show that the proposed method can perform significantly better than the state-of-the-art supervised methods (i.e.,EALR and Logistic) and unsupervised methods (i.e.,LT and AGE).