| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6948245 | Information and Software Technology | 2015 | 15 Pages |
Abstract
Our overall results suggest that a significant number of long lived bugs may be minimized through careful triaging and prioritization if developers could predict their severity, change effort, and change impact in advance. We believe our results will help both developers and researchers better to understand factors behind delays, improve the overall bug fixing process, and investigate analytical approaches for prioritizing bugs based on bug severity as well as expected bug fixing effort.
Related Topics
Physical Sciences and Engineering
Computer Science
Human-Computer Interaction
Authors
Ripon K. Saha, Sarfraz Khurshid, Dewayne E. Perry,