Publication
Title
Filtering bug reports for fix-time analysis
Author
Abstract
Several studies have experimented with data mining algorithms to predict the fix-time of reported bugs. Unfortunately, the fix-times as reported in typical open-source cases are heavily skewed with a significant amount of reports registering fix-times less than a few minutes. Consequently, we propose to include an additional filtering step to improve the quality of the underlying data in order to gain better results. Using a small-scale replication of a previously published bug fix-time prediction experiment, we show that the additional filtering of reported bugs indeed improves the outcome of the results.
Language
English
Source (journal)
2012 16TH EUROPEAN CONFERENCE ON SOFTWARE MAINTENANCE AND REENGINEERING
(CSMR)
Source (book)
16th European Conference on Software Maintenance and Reengineering, (CSMR), MAR 27-30, 2012, Univ Szeged, Szeged, HUNGARY
Publication
2012
ISBN
978-0-7695-4666-7
Volume/pages
(2012), p. 379-383
ISI
000309348900041
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 06.12.2012
Last edited 09.08.2017
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