A large scale Linux-Kernel based benchmark for feature location research

Zhenchang Xing, Yinxing Xue, Stan Jarzabek

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Citations (Scopus)

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)

Original languageEnglish
Title of host publication2013 35th International Conference on Software Engineering, ICSE 2013 - Proceedings
Pages1311-1314
Number of pages4
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 35th International Conference on Software Engineering, ICSE 2013 - San Francisco, CA, United States
Duration: 18 May 201326 May 2013

Publication series

NameProceedings - International Conference on Software Engineering
ISSN (Print)0270-5257

Conference

Conference2013 35th International Conference on Software Engineering, ICSE 2013
Country/TerritoryUnited States
CitySan Francisco, CA
Period18/05/1326/05/13

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