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Performance analysis using automatic grouping

Isnaldo Francisco De Melo, Abderrahmane Benbachir, Michel Dagenais

Paper (2018)

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Abstract

Performance has become an important and difficult issue for software development and maintenance on increasingly parallel systems. To address this concern, teams of developers use tracing tools to improve the performance, or track performance related bugs. In this work, we developed an automated technique to find the root cause of performance issues, which does not require deep knowledge of the system. This approach is capable of highlighting the performance cause, using a comparative methodology on slow and fast execution runs. We applied the solution on some use cases and were able to find the specific cause of issues. Furthermore, we implemented the solution in a framework to help developers working with similar problems.
Subjects: 2700 Information technology > 2706 Software engineering
2700 Information technology > 2715 Optimization
Department: Department of Computer Engineering and Software Engineering
Funders: CRSNG/NSERC
Grant number: CRDPJ468687-14
PolyPublie URL: https://publications.polymtl.ca/4202/
Conference Title: IEEE International Conference on Software Quality, Reliability and Security (QRS 2018)
Conference Location: Lisbonne, Portugal
Conference Date(s): 2018-07-16 - 2018-07-20
Publisher: IEEE
DOI: 10.1109/qrs.2018.00051
Official URL: https://doi.org/10.1109/qrs.2018.00051
Date Deposited: 17 Feb 2020 12:37
Last Modified: 02 Dec 2022 09:24
Cite in APA 7: De Melo, I. F., Benbachir, A., & Dagenais, M. (2018, July). Performance analysis using automatic grouping [Paper]. IEEE International Conference on Software Quality, Reliability and Security (QRS 2018), Lisbonne, Portugal (7 pages). https://doi.org/10.1109/qrs.2018.00051

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