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INSTALL.md

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The Nix and Docker setups build the demo to a runnable jar file.
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We also provide scripts for running the Demo from within Nix and Docker but we do not recommend using them because the demo launches a graphical user interface which frequently causes problems when run from within Nix or Docker (see Troubleshooting section at the bottom of this file).
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We hence recommend to (1) build either manually or with Nix or with Docker and (2) run the produced jar file manually.
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We hence recommend (1) to build either manually or with Nix or with Docker and (2) to run the produced jar file manually.
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(Windows users should _not_ use the Nix setup except if they are experts on WSL2, XServers, and Nix (see [REQUIREMENTS.md](REQUIREMENTS.md)).)
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Once you decided for a setup (Manual/Docker/Nix), check the requirements needed for the respective setup in the [REQUIREMENTS.md](REQUIREMENTS.md) file.

README.md

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This demo, also manifests the artifact submission for our paper _Variability-Aware Differencing with DiffDetective_, accepted at the FSE'24 demonstrations track.
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A preprint of the paper is available as part of this repository, [here](Variability-Aware%20Differencing%20with%20DiffDetective.pdf).
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Our application for artifact badges can be found in the [STATUS.md](STATUS.md) file.
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Please not that this submission is _not_ a replication package of an empirical study (e.g., tool evaluation).
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Instead, this repository is a template project with examples for how to use DiffDetective (i.e., a demo).
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Please note that this submission is _not_ a replication package of an empirical study (e.g., tool evaluation).
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Instead, this repository is a template project with examples for how to use DiffDetective as a library (i.e., a demo).
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## Setup
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