DocumentCode
2600023
Title
Precomputing possible configuration error diagnoses
Author
Rabkin, Ariel ; Katz, Randy
Author_Institution
EECS Dept., UC Berkeley, Berkeley, CA, USA
fYear
2011
fDate
6-10 Nov. 2011
Firstpage
193
Lastpage
202
Abstract
Complex software packages, particularly systems software, often require substantial customization before being used. Small mistakes in configuration can lead to hard-todiagnose error messages. We demonstrate how to build a map from each program point to the options that might cause an error at that point. This can aid users in troubleshooting these errors without any need to install or use additional tools. Our approach relies on static dataflow analysis, meaning all the analysis is done in advance. We evaluate our work in detail on two substantial systems, Hadoop and the JChord program analysis toolkit, using failure injection and also by using log messages as a source of labeled program points. When logs and stack traces are available, they can be incorporated into the analysis. This reduces the number of false positives by nearly a factor of four for Hadoop, at the cost of approximately one minute´s work per unique query.
Keywords
data flow computing; program diagnostics; software packages; Hadoop program analysis toolkit; JChord program analysis toolkit; precomputing possible configuration error diagnoses; program point; software packages; static dataflow analysis; Context; Debugging; Instruments; Java; Libraries; Servers; Web services;
fLanguage
English
Publisher
ieee
Conference_Titel
Automated Software Engineering (ASE), 2011 26th IEEE/ACM International Conference on
Conference_Location
Lawrence, KS
ISSN
1938-4300
Print_ISBN
978-1-4577-1638-6
Type
conf
DOI
10.1109/ASE.2011.6100053
Filename
6100053
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