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README.md

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@@ -7,15 +7,16 @@ Our sample of GitHub repositories and our dataset of mined patch scenarios is lo
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The sample and dataset are compressed as zip archives that have to be unpacked before they can be used.
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Our implementation of mpatch was written in Rust and can be found under [mpatch](mpatch). In its [README](mpatch/README.md), you can also find instructions on
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how to generate the documentation for mpatch, which can also be found under [mpatch/doc](mpatch/doc/mpatch/index.html)
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how to generate the documentation for mpatch.
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The implementation of our evaluation setup can be found in the Java and Kotlin sources in the [src](src/main) folder.
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The main file of the evaluation is [PatcherEvaluationMain.kt](src/main/kotlin/org/variantsync/evaluation/PatcherEvaluationMain.kt).
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Our scripts for applying the various metrics to the different patchers and analyzing the statistics can be found under [src/main/python](src/main/python/result_analysis).
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## Results without outliers
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In our paper, we mention that we re-analyzed our results after excluding 0.05% of results that were outliers.
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In our paper, we mention that we re-analyzed our results after excluding outliers.
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Specifically, we removed the top 0.05% of results with the highest number of required fixes for each patcher; thus, treating patchers equally in this regard.
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The updated version of Table IV is shown below.
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![results-without-outliers.png](results/results-without-outliers.png)
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![results-without-outliers.png](results/results-without-outliers.png)

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