The Human Competitiveness of Search Based Software Engineering

J. T. de Souza, C. Maia, Fabricio Gomes de Freitas, Daniel Coutinho
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引用次数: 51

Abstract

This paper reports a comprehensive experimental study regarding the human competitiveness of search based software engineering (SBSE). The experiments were performed over four well-known SBSE problem formulations: next release problem, multi-objective next release problem, workgroup formation problem and the multi-objective test case selection problem. For each of these problems, two instances, with increasing sizes, were synthetically generated and solved by both metaheuristics and human subjects. A total of 63 professional software engineers participated in the experiment by solving some or all problem instances, producing together 128 responses. The comparison analysis strongly suggests that the results generated by search based software engineering can be said to be human competitive.
基于搜索的软件工程人力竞争力研究
本文报道了一项关于基于搜索的软件工程(SBSE)的人类竞争力的综合实验研究。实验针对四种著名的SBSE问题表述进行:下一个发布问题、多目标下一个发布问题、工作组组建问题和多目标测试用例选择问题。对于这些问题中的每一个,两个实例,随着规模的增加,被元启发式和人类受试者综合生成和解决。共有63名专业软件工程师通过解决部分或全部问题实例参与了实验,总共产生了128个回答。对比分析强烈表明,基于搜索的软件工程产生的结果可以说是具有人类竞争力的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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