Detail výsledku
Perun: Performance Version System
Pavela Jiří, Ing., UITS (FIT)
Rogalewicz Adam, doc. Mgr., Ph.D., UITS (FIT)
Vojnar Tomáš, prof. Ing., Ph.D., UITS (FIT)
In this paper, we present PERUN: an open-source tool suite for profiling-based performance analysis. At its core, PERUN maintains links between project versions and the corresponding stored performance profiles, which are then leveraged for automated detection of performance changes in new project versions. The PERUN tool suite further includes multiple profilers (and is designed such that further profilers can be easily added), a performance fuzz-tester for workload generation, methods for deriving performance models, and numerous visualization methods. We demonstrate how PERUN can help developers to analyze their program performance on two case studies: detection and localization of a performance degradation and generation of inputs forcing performance issues to show up.
version system, profiling, performance analysis, fuzz-testing, performance testing.
@inproceedings{BUT180472,
author="Tomáš {Fiedor} and Jiří {Pavela} and Adam {Rogalewicz} and Tomáš {Vojnar}",
title="Perun: Performance Version System",
booktitle="Proceedings of the 38th IEEE International Conference on Software Maintenance and Evolution (ICSME 2022)",
year="2022",
pages="499--503",
publisher="Institute of Electrical and Electronics Engineers",
address="Limassol",
doi="10.1109/ICSME55016.2022.00067",
isbn="978-1-6654-7956-1"
}