Compositional Vector Space Models for Improved Bug Localization

Compositional Vector Space Models for Improved Bug Localization

Software developers and maintainers often need to locate code units responsible for a particular bug. A number of Information Retrieval (IR) techniques have been proposed to map natural language bug descriptions to the associated code units. The vector space model (VSM) with the standard tf-idf weig...

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Bibliographic Details
Main Authors: Wang, Shaowei, LO, David, Lawall, Julia
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2014
Subjects:
genetic algorithms
information retrieval
natural language processing
program debugging
software maintenance
vectors
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/2427
https://ink.library.smu.edu.sg/context/sis_research/article/3427/viewcontent/wang_icsme.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/2427
https://ink.library.smu.edu.sg/context/sis_research/article/3427/viewcontent/wang_icsme.pdf

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