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Data sources: Datacite
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Dataset . 2023
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Dataset . 2023
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Dataset . 2023
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ZENODO
Dataset . 2023
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ZENODO
Dataset . 2023
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ZENODO
Dataset . 2023
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Analyzing the Impact of Workloads on Modeling the Performance of Configurable Software Systems (Supplementary Material)

Research datakeyboard_double_arrow_right Dataset 15 Jan 2023 English Publisher:Zenodo
Authors: Mühlbauer, Stefan; Sattler, Florian; Kaltenecker, Christian; Dorn, Johannes; Apel, Sven; Siegmund, Norbert;

doi: 10.5281/zenodo.7658046 , 10.5281/zenodo.7629867 , 10.5281/zenodo.7504284 , 10.5281/zenodo.7504283

Analyzing the Impact of Workloads on Modeling the Performance of Configurable Software Systems (Supplementary Material)

Abstract

This repository provides supplementary material to the ICSE 2023 paper "Analyzing the Impact of Workloads on Modeling the Performance of Configurable Software Systems". We provide the following material: - The experimental setup, including the performance and measurement scripts. - (Aggregated) measurement data and configurations used in our analysis as well as the raw code coverage measurements. - An interactive dashboard to reproduce and reenact our analyses/findings, re-create all visualizations used in the original paper and those omitted due to space limitations. The repository is structured as follows: - accepted_paper.pdf: Camera-ready version of the original paper for reference. - coverages_raw.tar.gz: Raw coverage reports as compressed CSV files (uncrompressed: ~60 GB) - artifacts_excluding_raw_coverage.zip: aggregated measurement data, interactive dashboard, and experimental setup - README.md: A detailed documentation of all the material provided.

Related Organizations
Keywords

workload sensitivity, software performance, configurable software systems, performance prediction, software engineering

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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0
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30