江贺

个人信息Personal Information

教授

博士生导师

硕士生导师

主要任职:未来技术学院/人工智能学院副院长

性别:男

毕业院校:中国科技大学

学位:博士

所在单位:软件学院、国际信息与软件学院

联系方式:jianghe@dlut.edu.cn

扫描关注

论文成果

当前位置: jianghe >> 科学研究 >> 论文成果

Learning from evolved next release problem instances

点击次数:

论文类型:会议论文

发表时间:2014-07-12

收录刊物:EI、Scopus

页面范围:189-190

摘要:Taking the Next Release Problem (NRP) as a case study, we intend to analyze the relationship between heuristics and the software engineering problem instances. We adopt an evolutionary algorithm to evolve NRP instances that are either hard or easy for the target heuristic (GRASP in this study), to investigate where a heuristic works well and where it does not, when facing a software engineering problem. Thereafter, we use a feature-based approach to predict the hardness of the evolved instances, with respect to the target heuristic. Experimental results reveal that, the proposed algorithm is able to evolve NRP instances with different hardness. Furthermore, the problem-specific features enables the prediction of the target heuristic's performance.