Reducing Experiment Costs in Automated Software Performance Regression Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10453482" target="_blank" >RIV/00216208:11320/22:10453482 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/SEAA56994.2022.00017" target="_blank" >https://doi.org/10.1109/SEAA56994.2022.00017</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SEAA56994.2022.00017" target="_blank" >10.1109/SEAA56994.2022.00017</a>
Alternative languages
Result language
angličtina
Original language name
Reducing Experiment Costs in Automated Software Performance Regression Detection
Original language description
In this position paper we formulate performance regression testing as an automated experimentation problem and focus on the problem of controlling the experiment so as to provide more computation time to experiments that are more likely to detect performance changes. Conversely, this requires detecting and stopping experiments early if they are unlikely to detect any performance changes. To this end, we present a method that uses results from previous performance testing experiments to predict the outcome of new experiments in early stages of their execution.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)
ISBN
978-1-66546-152-8
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
56-59
Publisher name
IEEE
Place of publication
Los Alamitos
Event location
Gran Canaria, Spain
Event date
Aug 31, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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