DRONE: Predicting Priority of Reported Bugs by Multi-factor Analysis
Bugs are prevalent. To improve software quality, developers often allow users to report bugs that they found using a bug tracking system such as Bugzilla. Users would specify among other things, a description of the bug, the component that is affected by the bug, and the severity of the bug. Based o...
Saved in:
Main Authors: | TIAN, Yuan, LO, David, SUN, Chengnian |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2013
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/2017 http://dx.doi.org/10.1109/ICSM.2013.31 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Automated Prediction of Bug Report Priority Using Multi-Factor Analysis
by: TIAN, Yuan, et al.
Published: (2015) -
Improved Duplicate Bug Report Identification
by: TIAN, Yuan, et al.
Published: (2012) -
Information Retrieval Based Nearest Neighbor Classification for Fine-Grained Bug Severity Prediction
by: TIAN, Yuan, et al.
Published: (2012) -
Towards More Accurate Retrieval of Duplicate Bug Reports
by: SUN, Chengnian, et al.
Published: (2011) -
Predicting priority level of bug reports
by: Ang, Zi Qun
Published: (2016)