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Early Stopping of Non-productive Performance Testing Experiments Using Measurement Mutations

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10474396" target="_blank" >RIV/00216208:11320/23:10474396 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/SEAA60479.2023.00022" target="_blank" >https://doi.org/10.1109/SEAA60479.2023.00022</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SEAA60479.2023.00022" target="_blank" >10.1109/SEAA60479.2023.00022</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Early Stopping of Non-productive Performance Testing Experiments Using Measurement Mutations

  • Original language description

    Modern software projects often incorporate some form of performance testing into their development cycle, intending to detect changes in performance between commits or releases. Performance testing generally relies on experimental evaluation using various benchmark workloads. To detect performance changes reliably, benchmarks must be executed many times to account for variability in the measurement results. While considered best practice, this approach can become prohibitively expensive when the number of versions and benchmark workloads increases. To alleviate the cost of performance testing, we propose an approach for the early stopping of non-productive experiments that are unlikely to detect a performance bug in a particular benchmark. The stopping conditions are based on benchmark-specific thresholds determined from historical data modified to emulate the potential effects of software changes on benchmark performance. We evaluate the approach on the GraalVM benchmarking project and show that it can eliminate about 50% of the experiments if we can afford to ignore about 15% of the least significant performance changes.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)

  • ISBN

    979-8-3503-4235-2

  • ISSN

    2640-592X

  • e-ISSN

    2376-9521

  • Number of pages

    8

  • Pages from-to

    86-93

  • Publisher name

    IEEE

  • Place of publication

    Los Alamitos

  • Event location

    Durres, Albania

  • Event date

    Sep 6, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article