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Debugging performance failures

Published: 11 June 2012 Publication History

Abstract

An application execution profile has meaning only when it is compared to another profile obtained from a slightly different executing context. Unfortunately, current profilers do not efficiently support performance comparison across multiple profiles. As a consequence, profiling multiple executions is often realized in an ad-hoc fashion, often resulting in missing opportunities for caching.
We propose multidimensional profiling as a way to repeatedly profile a software execution by varying some variables of the execution context. Having explicit execution variation points is key to precisely understanding how a particular feature performance evolves along the version history of the software.

References

[1]
Andrea Adamoli and Matthias Hauswirth. Trevis: a context tree visualization & analysis framework and its use for classifying performance failure reports. In Proceedings of the 5th international symposium on Software visualization, SOFTVIS '10, pages 73--82, New York, NY, USA, 2010. ACM.
[2]
Taweesup Apiwattanapong, Alessandro Orso, and Mary Jean Harrold. A differencing algorithm for object-oriented programs. In Proceedings of the 19th IEEE international conference on Automated software engineering, ASE '04, pages 2--13, Washington, DC, USA, 2004. IEEE Computer Society.
[3]
Alexandre Bergel. Counting messages as a proxy for average execution time in pharo. In Proceedings of the 25th European Conference on Object-Oriented Programming (ECOOP'11), LNCS, pages 533--557. Springer-Verlag, July 2011.
[4]
Daniel Jackson and David A. Ladd. Semantic diff: A tool for summarizing the effects of modifications. In Proceedings of the International Conference on Software Maintenance, ICSM '94, pages 243--252, Washington, DC, USA, 1994. IEEE Computer Society.
[5]
Nagy Mostafa and Chandra Krintz. Tracking performance across software revisions. In Proceedings of the 7th International Conference on Principles and Practice of Programming in Java, PPPJ '09, pages 162--171, New York, NY, USA, 2009. ACM.
[6]
Xiaotong Zhuang, Suhyun Kim, Mauri io Serrano, and Jong-Deok Choi. Perfdiff: a framework for performance difference analysis in a virtual machine environment. In Proceedings of the 6th annual IEEE/ACM international symposium on Code generation and optimization, CGO '08, pages 4--13, New York, NY, USA, 2008. ACM.

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DYLA '12: Proceedings of the 6th Workshop on Dynamic Languages and Applications
June 2012
8 pages
ISBN:9781450315074
DOI:10.1145/2307196
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 11 June 2012

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