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Performance analysis using automatic grouping

Isnaldo Francisco De Melo Junior, Abderrahmane Benbachir and Michel R. Dagenais

Conference or Workshop Item - Paper (2018)

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Cite this document: De Melo Junior, I. F., Benbachir, A. & Dagenais, M. R. (2018, July). Performance analysis using automatic grouping. Paper presented at IEEE International Conference on Software Quality, Reliability and Security (QRS 2018), Lisbonne, Portugal (7 pages). doi:10.1109/qrs.2018.00051
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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.

Open Access document in PolyPublie
Subjects: 2700 Technologie de l'information > 2706 Génie logiciel
2700 Technologie de l'information > 2715 Optimisation
Department: Département de génie informatique et génie logiciel
Research Center: Non applicable
Grant number: CRDPJ468687-14
Date Deposited: 17 Feb 2020 12:37
Last Modified: 08 Apr 2021 10:42
PolyPublie URL: https://publications.polymtl.ca/4202/
Document issued by the official publisher
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
Official URL: https://doi.org/10.1109/qrs.2018.00051


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