{"title":"一个大规模的基于linux内核的特征定位研究基准","authors":"Zhenchang Xing, Yinxing Xue, S. Jarzabek","doi":"10.1109/ICSE.2013.6606705","DOIUrl":null,"url":null,"abstract":"Many software maintenance tasks require locating code units that implement a certain feature (termed as feature location). Feature location has been an active research area for more than two decades. However, there is lack of publicly available, large scale benchmarks for e valuating and comparing feature location approaches. In this paper, we present a LinuxKernel based benchmark for feature location research. This benchmark is large scale and extensible. By providing rich feature and program information and accurate ground-truth links between features and code units, it supports the e valuation of a wide range of feature location approaches. It allows researchers to gain deeper insights into existing approaches and how they can be improved. It also enables communication and collaboration among different researchers. (video: http://www.youtube.com/watch?v=3D_HihwRNeK3I).","PeriodicalId":322423,"journal":{"name":"2013 35th International Conference on Software Engineering (ICSE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"A large scale Linux-Kernel based benchmark for feature location research\",\"authors\":\"Zhenchang Xing, Yinxing Xue, S. Jarzabek\",\"doi\":\"10.1109/ICSE.2013.6606705\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many software maintenance tasks require locating code units that implement a certain feature (termed as feature location). Feature location has been an active research area for more than two decades. However, there is lack of publicly available, large scale benchmarks for e valuating and comparing feature location approaches. In this paper, we present a LinuxKernel based benchmark for feature location research. This benchmark is large scale and extensible. By providing rich feature and program information and accurate ground-truth links between features and code units, it supports the e valuation of a wide range of feature location approaches. It allows researchers to gain deeper insights into existing approaches and how they can be improved. It also enables communication and collaboration among different researchers. (video: http://www.youtube.com/watch?v=3D_HihwRNeK3I).\",\"PeriodicalId\":322423,\"journal\":{\"name\":\"2013 35th International Conference on Software Engineering (ICSE)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 35th International Conference on Software Engineering (ICSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSE.2013.6606705\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 35th International Conference on Software Engineering (ICSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSE.2013.6606705","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A large scale Linux-Kernel based benchmark for feature location research
Many software maintenance tasks require locating code units that implement a certain feature (termed as feature location). Feature location has been an active research area for more than two decades. However, there is lack of publicly available, large scale benchmarks for e valuating and comparing feature location approaches. In this paper, we present a LinuxKernel based benchmark for feature location research. This benchmark is large scale and extensible. By providing rich feature and program information and accurate ground-truth links between features and code units, it supports the e valuation of a wide range of feature location approaches. It allows researchers to gain deeper insights into existing approaches and how they can be improved. It also enables communication and collaboration among different researchers. (video: http://www.youtube.com/watch?v=3D_HihwRNeK3I).