Deep transfer bug localization

• Main Authors: HUO, Xuan, THUNG, Ferdian, LI, Ming, LO, David, SHI, Shu-Ting
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Cross-project bug localization; transfer learning; deep learning; Computer bugs; Feature extraction; Task analysis; Encoding; Computer languages; Semantics; Data models; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/4522; https://doi.org/10.1109/TSE.2019.2920771
• Institution: Singapore Management University

Many projects often receive more bug reports than what they can handle. To help debug and close bug reports, a number of bug localization techniques have been proposed. These techniques analyze a bug report and return a ranked list of potentially buggy source code files. Recent development on bug lo...