Compositional Vector Space Models for Improved Bug Localization

• Main Authors: Wang, Shaowei, LO, David, Lawall, Julia
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2014
• 主題: genetic algorithms; information retrieval; natural language processing; program debugging; software maintenance; vectors; Software Engineering
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/2427; https://ink.library.smu.edu.sg/context/sis_research/article/3427/viewcontent/wang_icsme.pdf
• 機構: Singapore Management University

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...