Title
Filtering bug reports for fix-time analysisFiltering bug reports for fix-time analysis
Author
Faculty/Department
Faculty of Sciences. Mathematics and Computer Science
Research group
Antwerp Systems and software Modelling (AnSyMo)
Publication type
conferenceObject
Publication
Subject
Computer. Automation
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
Volume/pages
(2012), p. 379-383
ISSN
1944-2793
ISBN
978-0-7695-4666-7
ISI
000309348900041
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
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.
E-info
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