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@@ -102,6 +102,7 @@ Here, we only present a small selection of papers. Any interesting work on UVL m
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* Chico Sundermann, Tobias Heß, Dominik Engelhardt, Rahel Arens, Johannes Herschel, Kevin Jedelhauser, Benedikt Jutz, Sebastian Krieter, and Ina Schaefer. 2021. Integration of UVL in FeatureIDE. MODEVAR@SPLC '21. <https://doi.org/10.1145/3461002.3473940>
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* Kevin Feichtinger, Johann Stöbich, Dario Romano, and Rick Rabiser. 2021. TRAVART: An Approach for Transforming Variability Models. VaMoS '21. <https://doi.org/10.1145/3442391.3442400>
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* Dario Romano, Kevin Feichtinger, Danilo Beuche, Uwe Ryssel, and Rick Rabiser. 2022. Bridging the gap between academia and industry: transforming the universal variability language to pure::variants and back. MODEVAR@SPLC '22. <https://doi.org/10.1145/3503229.3547056>
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* José A. Galindo and David Benavides. 2020. A Python framework for the automated analysis of feature models: A first step to integrate community efforts. MODEVAR@SPLC '20. https://doi.org/10.1145/3382026.3425773
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* Jose M. Horcas, Jose A. Galindo, Mónica Pinto, Lidia Fuentes, and David Benavides. 2022. FM fact label: a configurable and interactive visualization of feature model characterizations. SPLC '22. <https://doi.org/10.1145/3503229.3547025>
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* David Romero, José Á. Galindo, Jose-Miguel Horcas, and David Benavides. 2021. A first prototype of a new repository for feature model exchange and knowledge sharing. SPLC '21. <https://doi.org/10.1145/3461002.3473949>
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