Artifacts for [On Rank Aggregating Test Prioritizations]

Artifacts for [On Rank Aggregating Test Prioritizations]<br> ===================================================== <pre><code>username: entp password: entp root password: entp</code></pre> Directory structure for [/home/entp/<strong>EnTP</strong>]<br> -----------------------------------------------------------------<br> [<strong>benchmarks</strong>] -&gt; contains the projects/subjects under test used in our study. [<strong>cost_cov_diff</strong>] -&gt; pre-recorded cost (cachegrind's I-Ref count) per test-case. We recorded this precporcessing to avoid fluctuations in costs across different systems, and hence maintain uniformity. [<strong>raw_data_scripts</strong>] -&gt; contains C++ implementation of EnTP, and scripts to generate results (tables, boxplots, .csv, .txt, etc.) [<strong>exp_res_raw</strong>] -&gt; contains pre-recorded experiments results (as .csv files) as reported in the paper. To generate the plots, run [python3 plot.py] from {/home/entp/EnTP/exp_res_raw}. The plots will be generated in .eps format. These precomputed results helps the artifact reviewer save time by generating the plots only, otherwise the whole process (detailed in Makefile's usage) generates a [database] directory of ~400GB (all benchmarks, all combinations, all results even beyond those reported in the paper, + some extra logs) which is very time consuming (~1 month on a standard laptop with 8 cores, 8GB RAM). <strong>Makefile</strong>'s usage<br> ---------------------------<br> [Step 1] <pre><code class="language-bash">entp@entp:~/EnTP$ make -s entp_all_[benchmark]</code></pre> Possible values of [benchmark] = {c4, gravity, mlisp, replace, schedule2, space, xc, cf, grep, printtokens, scd, sed, tcas, xxhash, flex, gzip, printtokens2, schedule, slre, totinfo}. example: <pre><code class="language-bash">entp@entp:~/EnTP$ make -s entp_all_slre</code></pre> executes EnTP and state-of-the-arts on the benchmark "slre". Please follow log messages displayed after executing the above command. At the end of the execution, a sub-diretory named [<strong>database</strong>] will store the results for all experiments performed on "slre" for the current system and environment.<br> ...<br> [<em>database/{100, 75, 50, 25}</em>] -&gt; contains experimental results for the consensus budget of top-{100%, 75%, 50%, 25%}.<br> ... (optional) <pre><code class="language-bash">entp@entp:~/EnTP$ make -s entp_all_[benchmark] #other benchmarks</code></pre> [Step 2] <pre><code class="language-bash">entp@entp:~/EnTP$ make -s generate_tabs</code></pre> This will collect data from the newly generated directories and results (at the end of previous step), and generate tables, and .eps plots. Check for results reproduced<br> ---------------------------------------------<br> You can visually compare the .eps plots in {<strong><em>/home/entp/EnTP</em></strong>} with the ones generated in the directory {<strong><em>/home/entp/EnTP/exp_res_raw</em></strong>}.<br> You can also compare the .csv files under these directories for quantitative comparison with some tolerance. (optional) <pre><code class="language-bash">entp@entp:~/EnTP$ make -s destroy_all</code></pre> Cleans up everything!