IncBL: Incremental Bug Localization
Numerous efforts have been invested in improving the effectiveness of bug localization techniques, whereas little attention is paid to making these tools run more efficiently in continuously evolving software repositories. This paper first analyzes the information retrieval model behind a classic bu...
Saved in:
Main Authors: | YANG, Zhou, SHI, Jieke, WANG Shaowei, LO, David |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2021
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/6895 https://ink.library.smu.edu.sg/context/sis_research/article/7898/viewcontent/IncBL..pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
On the influence of biases in bug localization: evaluation and benchmark
by: WIDYASARI, Ratnadira, et al.
Published: (2022) -
AmaLgam+: Composing rich information sources for accurate bug localization
by: WANG, Shaowei, et al.
Published: (2016) -
Compositional Vector Space Models for Improved Bug Localization
by: Wang, Shaowei, et al.
Published: (2014) -
Can differential testing improve automatic speech recognition systems?
by: ASYROFI, Muhammad Hilmi, et al.
Published: (2021) -
Dual Analysis for Recommending Developers to Resolve Bugs
by: XIA, Xin, et al.
Published: (2015)