location: Current position: Zhilei Ren >> Scientific Research >> Paper Publications

Learning from evolved next release problem instances

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Indexed by:会议论文

Date of Publication:2014-07-12

Included Journals:EI、Scopus

Page Number:189-190

Abstract: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.

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