Searching for better configurations: a rigorous approach to clone evaluation
Searching for better configurations: a rigorous approach to clone evaluation
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DOI：
10.1145/2491411.2491420
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发表时间：
2013-08
期刊：
影响因子：
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通讯作者：
Tiantian Wang;M. Harman;Yue Jia;J. Krinke
中科院分区：
文献类型：
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作者：
Tiantian Wang;M. Harman;Yue Jia;J. Krinke
克隆检测在许多软件工程活动中得到应用，例如理解和重构。然而，混淆配置选择问题构成了广泛承认的威胁，以前的实证分析的有效性。我们介绍桌面和并行云部署版本的基于搜索的解决方案，找到合适的配置进行实证研究。我们评估我们的方法6广泛使用的克隆检测工具，适用于贝隆套件的8个主题系统。我们的评估报告了930万次克隆工具执行的结果;这是迄今为止报告的最大规模的研究。我们的方法发现了比目前使用的配置更好的配置（p < 0.05），证明我们的方法可以改善混淆配置选择问题。
Clone detection finds application in many software engineering activities such as comprehension and refactoring. However, the confounding configuration choice problem poses a widely-acknowledged threat to the validity of previous empirical analyses. We introduce desktop and parallelised cloud-deployed versions of a search based solution that finds suitable configurations for empirical studies. We evaluate our approach on 6 widely used clone detection tools applied to the Bellon suite of 8 subject systems. Our evaluation reports the results of 9.3 million total executions of a clone tool; the largest study yet reported. Our approach finds significantly better configurations (p < 0.05) than those currently used, providing evidence that our approach can ameliorate the confounding configuration choice problem.