Paper Info
Title
Modeling bug report quality
Abstract
Software developers spend a significant portion of their resources handling user-submitted bug reports. For software that is widely deployed, the number of bug reports typically outstrips the resources available to triage them. As a result, some reports may be dealt with too slowly or not at all. We present a descriptive model of bug report quality based on a statistical analysis of surface features of over 27,000 publicly available bug reports for the Mozilla Firefox project. The model predicts whether a bug report is triaged within a given amount of time. Our analysis of this model has implications for bug reporting systems and suggests features that should be emphasized when composing bug reports. We evaluate our model empirically based on its hypothetical performance as an automatic filter of incoming bug reports. Our results show that our model performs significantly better than chance in terms of precision and recall. In addition, we show that our modelcan reduce the overall cost of software maintenance in a setting where the average cost of addressing a bug report is more than 2% of the cost of ignoring an important bug report.
Year
DOI
Venue
2007
10.1145/1321631.1321639
ASE
Keywords
Field
DocType
average cost,user-submitted bug report,model empirically,composing bug report,available bug report,bug report,descriptive model,important bug report,incoming bug report,bug report quality,management,metrics,human factors,software development,information retrieval,measurement,software maintenance,statistical model,statistical analysis
Computer science,Precision and recall,Bug tracking system,Average cost,Software,Statistical model,Triage,Software maintenance,Software regression,Database
Conference
Citations 
PageRank 
References 
103
5.33
15
Authors
2
Search Limit
100103
Name
Order
Citations
PageRank
Pieter Hooimeijer159826.19
Westley Weimer23510162.27