Title
BugRedux: Reproducing field failures for in-house debugging
Abstract
A recent survey conducted among developers of the Apache, Eclipse, and Mozilla projects showed that the ability to recreate field failures is considered of fundamental importance when investigating bug reports. Unfortunately, the information typically contained in a bug report, such as memory dumps or call stacks, is usually insufficient for recreating the problem. Even more advanced approaches for gathering field data and help in-house debugging tend to collect either too little information, and be ineffective, or too much information, and be inefficient. To address these issues, we present BugRedux, a novel general approach for in-house debugging of field failures. BugRedux aims to synthesize, using execution data collected in the field, executions that mimic the observed field failures. We define several instances of BugRedux that collect different types of execution data and perform, through an empirical study, a cost-benefit analysis of the approach and its variations. In the study, we apply BugRedux to 16 failures of 14 real-world programs. Our results are promising in that they show that it is possible to synthesize in-house executions that reproduce failures observed in the field using a suitable set of execution data.
Year
DOI
Venue
2012
10.1109/ICSE.2012.6227168
ICSE
Keywords
Field
DocType
cost-benefit analysis,field data,field data gathering,mozilla projects,bug report,bugredux,field failure,memory dumps,apache projects,eclipse projects,execution data,program debugging,in-house execution synthesis,in-house execution,field failure reproduction,bug report investigation,observed field failure,reproducing field failure,in-house debugging,call stacks,novel general approach,advanced approach,empirical study,generators,data collection,optical fibers,cost benefit analysis,debugging
Field data,Software engineering,Computer science,Real-time computing,Software,Eclipse,Technical report,Empirical research,Debugging
Conference
Volume
ISSN
ISBN
2
0270-5257 E-ISBN : 978-1-4673-1065-9
978-1-4673-1065-9
Citations 
PageRank 
References 
89
2.13
27
Authors
2
Name
Order
Citations
PageRank
Wei Jin12118.26
Alessandro Orso23550172.85