Concern localization using information retrieval: An empirical study on Linux kernel

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...

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Bibliographic Details
Main Authors: WANG, Shaowei, LO, David, XING, Zhenchang, JIANG, Lingxiao
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2011
Subjects:
concern localization
information retrieval
Linux kernel
mean average precision
Software Engineering
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
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/1396
https://ink.library.smu.edu.sg/context/sis_research/article/2395/viewcontent/ConcernLocalizationIR_2011.pdf

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