Thesis Details

Nové modely pro automatickou detekci degradace výkonu

Bachelor's Thesis Student: Stupinský Šimon Academic Year: 2018/2019 Supervisor: Rogalewicz Adam, doc. Mgr., Ph.D.
English title
New Models for Automatic Detection of Performance Degradation
Language
Czech
Abstract

Performance testing is a critical factor in the optimisation of programs during its development, but it is still not so well developed in comparison to functional testing. A framework Perun provides full automation of performance management, thereby contributing to the development of this area. We have introduced three non-parametric approaches to performance data modelling: regressogram, moving average and kernel regression, which were integrated within this framework. We try to achieve appropriate approximations of performance data using these techniques, without the assumption of dependence between two variables, which represents the main advantage in comparison to parametric techniques. Further, we have proposed and implemented two methods for automatic detection of performance changes, which works with all kinds of models within Perun. We have demonstrated our solutions on the real project (Vim), and on the set of the experimental cases, in which we compared proposed solutions with existing. We have achieved decreased time processing about two-thirds and an almost triple improvement in the fitness of data modelling with new modelling approaches. The proposed detection methods detected performance degradation of three specific functions in comparison of two different versions of Vim, where was present a known performance issue.

Keywords

performance changes, automatic detection, regressogram, moving average, kernel regression

Department
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
10 June 2019
Reviewer
Committee
Vojnar Tomáš, prof. Ing., Ph.D. (DITS FIT BUT), předseda
Grézl František, Ing., Ph.D. (DCGM FIT BUT), člen
Honzík Jan M., prof. Ing., CSc. (DIFS FIT BUT), člen
Kořenek Jan, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Smrčka Aleš, Ing., Ph.D. (DITS FIT BUT), člen
Citation
STUPINSKÝ, Šimon. Nové modely pro automatickou detekci degradace výkonu. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-10. Supervised by Rogalewicz Adam. Available from: https://www.fit.vut.cz/study/thesis/22118/
BibTeX
@bachelorsthesis{FITBT22118,
    author = "\v{S}imon Stupinsk\'{y}",
    type = "Bachelor's thesis",
    title = "Nov\'{e} modely pro automatickou detekci degradace v\'{y}konu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/22118/"
}
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