Paper Info
Title
Filtering Bug Reports for Fix-Time Analysis
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.
Year
DOI
Venue
2012
10.1109/CSMR.2012.47
Software Maintenance and Reengineering
Keywords
Field
DocType
data analysis,data mining,program debugging,bug fix-time prediction experiment,bug report filtering,data mining algorithm,data quality,fix-time analysis,Software Engineering,bug reports,data mining,fix-time,preprocessing
Data mining,Computer science,Filter (signal processing),Preprocessor,Data mining algorithm,Software regression
Conference
ISSN
ISBN
Citations 
1534-5351
978-1-4673-0984-4
12
PageRank 
References 
Authors
0.55
4
2
Name
Order
Citations
PageRank
Ahmed Lamkanfi1120.55
Serge Demeyer22250291.74