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README.md

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# Classifying Edits to Variability in Source Code
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[![Documentation](https://img.shields.io/badge/Documentation-Read-purple)][documentation]
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[![Install](https://img.shields.io/badge/Install-Instructions-blue)](INSTALL.md)
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[![GitHubPages](https://img.shields.io/badge/GitHub%20Pages-online-blue.svg?style=flat)][website]
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[![License](https://img.shields.io/badge/License-GNU%20LGPLv3-blue)](LICENSE.LGPL3)
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This is the replication package for our paper _Classifying Edits to Variability in Source Code_ accepted at the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022).
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This replication package consists of four parts:
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[haskell]: https://www.haskell.org/
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[dataset]: docs/datasets.md
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[documentation]: https://variantsync.github.io/DiffDetective/docs/javadoc/
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[website]: https://variantsync.github.io/DiffDetective/
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[resultsdir]: results/validation/current
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[resultsdir_classification_results]: results/validation/current/ultimateresult.metadata.txt
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[resultsdir_speed_statistics]: results/validation/current/speedstatistics.txt

STATUS.md

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Its main purpose is to document the theory and its extensions to serve as a reference for the proofs in our appendix.
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Yet, the project can also be used as a library to reason on variation trees and diffs in Haskell projects.
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The library is accompanied with a small demo application that shows an example test case for our proof for completeness, by creating a variation tree diff from two variation trees and re-projecting them.
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The library is accompanied by a small demo application that shows an example test case for our proof for completeness, by creating a variation tree diff from two variation trees and re-projecting them.
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## Claims
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We claim the _Artifacts Available_ badge as we made our artefacts publicly available on [Github][ddgithub] and [Zenodo][ddzenodo].

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