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13th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
Automated Detection of Performance Regressions: The Mono Experience
Atlanta, Georgia
September 27-September 29
ISBN: 0-7695-2458-3
ASCII Text
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Tomas Kalibera, Lubomir Bulej, Petr Tuma, "Automated Detection of Performance Regressions: The Mono Experience," Modeling, Analysis, and Simulation of Computer Systems, International Symposium on, pp. 183-190, 13th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, 2005.
 
 
BibTex
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@article{ 10.1109/MASCOT.2005.18,
author = {Tomas Kalibera and Lubomir Bulej and Petr Tuma},
title = {Automated Detection of Performance Regressions: The Mono Experience},
journal ={Modeling, Analysis, and Simulation of Computer Systems, International Symposium on},
volume = {0},
year = {2005},
issn = {1526-7539},
pages = {183-190},
doi = {http://doi.ieeecomputersociety.org/10.1109/MASCOT.2005.18},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Modeling, Analysis, and Simulation of Computer Systems, International Symposium on
TI - Automated Detection of Performance Regressions: The Mono Experience
SN - 1526-7539
SP183
EP190
A1 - Tomas Kalibera,
A1 - Lubomir Bulej,
A1 - Petr Tuma,
PY - 2005
KW - null
VL - 0
JA - Modeling, Analysis, and Simulation of Computer Systems, International Symposium on
ER -
 
Tomas Kalibera, Distributed Systems Research Group, Department of Software Engineering Faculty of Mathematics and Physics, Charles University, Malostranske nam. Prague, Czech Republic
Lubomir Bulej, Distributed Systems Research Group, Department of Software Engineering Faculty of Mathematics and Physics, Charles University, Malostranske nam. Prague, Czech Republic
Petr Tuma, Institute of Computer Science, Czech Academy of Sciences Pod Vodarenskou vezi 2, 182 07 Prague, Czech Republic

Engineering a large software project involves tracking the impact of development and maintenance changes on the software performance. An approach for tracking the impact is regression benchmarking, which involves automated benchmarking and evaluation of performance at regular intervals. Regression benchmarking must tackle the nondeterminism inherent to contemporary computer systems and execution environments and the impact of the nondeterminism on the results. On the example of a fully automated regression benchmarking environment for the Mono opensource project, we show how the problems associated with nondeterminism can be tackled using statistical methods.

Citation:
Tomas Kalibera, Lubomir Bulej, Petr Tuma, "Automated Detection of Performance Regressions: The Mono Experience," mascots, pp.183-190, 13th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, 2005
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