Fusing multi-abstraction vector space models for concern localization

• Main Authors: ZHANG, Yun, LO, David, XIA, Xin, SCANNIELLO, Giuseppe, LE, Tien-Duy B., SUN, Jianling
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Concern localization; Multi-Abstraction; Text retrieval; Topic modeling; Data fusion; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/4126; https://ink.library.smu.edu.sg/context/sis_research/article/5129/viewcontent/Fusing_Multi_Abstraction_EMSE_afv.pdf
• Institution: Singapore Management University

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 are relevant to the bug reports or feature requests. Many inform...