Concern localization using information retrieval: An empirical study on Linux kernel
Many software maintenance activities need to find code units (functions, files, etc.) that implement a certain concern (features, bugs, etc.). To facilitate such activities, many approaches have been proposed to automatically link code units with concerns described in natural languages, which are te...
Saved in:
Main Authors: | WANG, Shaowei, LO, David, XING, Zhenchang, JIANG, Lingxiao |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2011
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/1396 https://ink.library.smu.edu.sg/context/sis_research/article/2395/viewcontent/ConcernLocalizationIR_2011.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Concern localization using information retrieval: An empirical study on Linux kernel
by: Wang, S., et al.
Published: (2013) -
A large scale Linux-Kernel based benchmark for feature location research
by: Xing, Z., et al.
Published: (2014) -
Automated patch backporting in Linux (experience paper)
by: Shariffdeen, Ridwan, et al.
Published: (2021) -
Multi-Abstraction Concern Localization
by: DUY, Tien-Duy B., et al.
Published: (2013) -
MaPa Linux: Manage Pane for Linux
by: Cruz, Yvette Kyla C., et al.
Published: (2005)