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David LO

Multi-Abstraction

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Multi-Abstraction Concern Localization, Tien-Duy B. Duy, Shaowei Wang, David Lo Jun 2014

Multi-Abstraction Concern Localization, Tien-Duy B. Duy, Shaowei Wang, David Lo

David LO

Concern localization refers to the process of locating code units that match a particular textual description. It takes as input textual documents such as bug reports and feature requests and outputs a list of candidate code units that need to be changed to address the bug reports or feature requests. Many information retrieval (IR) based concern localization techniques have been proposed in the literature. These techniques typically represent code units and textual descriptions as a bag of tokens at one level of abstraction, e.g., each token is a word, or each token is a topic. In this work, we propose …