Identification of Performance Changes at Code Level (Measurement Configuration Dataset)

<strong>Measurement Configuration Dataset </strong> <em>This is the anonymous reviewing version; the source code repository will be added after the review.</em> This dataset provides reproduction data for performance measurement configuration at source code level in Java. The measurement data can be obtained using the precision-experiments repository https://anonymous.4open.science/r/precision-experiments-C613/ (Examining Different Repetition Counts) yourself. These data conatained here are the data we obtained from execution on i7-4770 CPU @ 3.40GHz. The analysis was tested on Ubuntu 20.04 and gnuplot 5.2.8. It will not work with older gnuplot versions. To execute the analysis, extract the data by <pre><code class="language-bash">tar -xvf basic-parameter-comparison.tar tar -xvf parallel-sequential-comparison.tar</code></pre> and afterwards build the precision-experiments repo and execute the analysis by <pre><code class="language-bash">cd precision-experiments/precision-analysis/ ../gradlew fatJar cd scripts/icsoft/ ./executeCompleteAnalysis.sh ../../../../basic-parameter-comparison ../../../../parallel-sequential-comparison</code></pre> Afterwards, the following files will be present: <strong>precision-experiments/precision-analysis/scripts/icsoft/repetitionHeatmaps/heatmap_all_en.pdf</strong> (Heatmaps for different repetition counts) <strong>precision-experiments/precision-analysis/scripts/icsoft/repetitionHeatmaps/heatmap_outlierRemoval_en.pdf </strong>(Heatmap with and without outlier removal for 1000 repetitions) <strong>precision-experiments/precision-analysis/scripts/icsoft/histogram_outliers_en.pdf</strong> (Histogram of the outliers) <strong>precision-experiments/precision-analysis/scripts/icsoft/heatmap_parallel_en.pdf </strong>(Heatmap with sequential and parallel execution)