Title :
A large scale Linux-Kernel based benchmark for feature location research
Author :
Zhenchang Xing ; Yinxing Xue ; Jarzabek, Stan
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
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).
Keywords :
Linux; benchmark testing; public domain software; software maintenance; code unit location; feature location research; ground-truth links; large-scale Linux-kernel-based benchmark; program information; publicly available large-scale benchmarks; software maintenance tasks; Benchmark testing; Feature extraction; Kernel; Linux; Natural languages; Random access memory; Empirical Studies; Feature Location; Large-Scale Benchmark; Linux Kernel;
Conference_Titel :
Software Engineering (ICSE), 2013 35th International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4673-3073-2
DOI :
10.1109/ICSE.2013.6606705