DocumentCode
2206389
Title
Challenges and Issues of Mining Crash Reports
Author
Le An ; Khomh, Foutse
Author_Institution
SWAT, Polytech. Montreal, Montreal, QC, Canada
fYear
2015
fDate
2-2 March 2015
Firstpage
5
Lastpage
8
Abstract
Automatic crash reporting tools built in many software systems allow software practitioners to understand the origin of field crashes and help them prioritise field crashes or bugs, locate erroneous files, and/or predict bugs and crash occurrences in subsequent versions of the software systems. In this paper, after illustrating the structure of crash reports in Mozilla, we discuss some techniques for mining information from crash reports, and highlight the challenges and issues of these techniques. Our aim is to raise the awareness of the research community about issues that may bias research results obtained from crash reports and provide some guidelines to address certain challenges related to mining crash reports.
Keywords
data mining; program debugging; program testing; crash report mining; crash reporting tool; software systems; Algorithm design and analysis; Computer bugs; Data mining; Databases; Software systems; Crash report; bug report; mining softwarerepositories.;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Analytics (SWAN), 2015 IEEE 1st International Workshop on
Conference_Location
Montreal, QC
Type
conf
DOI
10.1109/SWAN.2015.7070480
Filename
7070480
Link To Document