FeatureIDE @FeatureIDE
Eclipse plug-ins for feature-oriented software development featureide.github.io Ulm, Germany Joined March 2015-
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v3.11.1 has just been released, including multiple improvements for the configuration and the feature-model editor, feature-model slicing, and small improvements and bug fixes: github.com/FeatureIDE/Fea… The release is joint work by University of Ulm and University of Magdeburg.
v3.10.0 has been released (already in August) with automatic translation between UVL language levels, prime implicant analysis, and improved feature model import and export: github.com/FeatureIDE/Fea… The release is joint work by University of Ulm and University of Magdeburg.
Dear @splcconf audience, about to start my MIP talk at #splc2023. Here is some material for you in case my talk will be boring... original slides from #icse2009: github.com/SoftVarE-Group… original paper: dl.acm.org/doi/10.1109/IC… paper with corrections: github.com/SoftVarE-Group…
v3.9.2 has been released with multiple enhancements and bugfixes over v.3.9.1: github.com/FeatureIDE/Fea… The release is joint work by University of Ulm and University of Magdeburg.
v3.9.1 has been released with multiple enhancements and bugfixes over v.3.9.0: github.com/FeatureIDE/Fea… The release is joint work by University of Ulm and University of Magdeburg.
Learn about "Adaptive behavioral model learning for software product lines," by Shaghayegh Tavassoli, et al., a Best Research Paper Award SPLC2022 from SPLC '22: 26th ACM International Systems and Software Product Line Conference bit.ly/3LqiqWV
You missed the live demo on Subset Product Lines in FeatureIDE at #SPLC22 in Graz? You want to see demo awarded with the Best Demo Award again? Here you go: youtube.com/watch?v=g1LGIA… Demo paper: dl.acm.org/doi/abs/10.114… More @splcconf awards: 2022.splc.net/program/awards/
Acapulco: An extensible tool for identifying optimal & consistent configurations built on top of @FeatureIDE using Consistency-Preserving Operators for Efficient Product Line Configuration github.com/acapulco-spl/a… #SPLC2022 @splcconf @miguelijordan @danstrueb @szschaler
Want to see the new version in action? Join the UVL tutorial tomorrow at #splc2022. We cover several tools that embed UVL including FeatureIDEv3.9.0. The tutorial is joint work with @k_feichtinger, @_jagalindo_, @davbencue, @RickRabiser, @ThomasThuem, and Sebastian Krieter.
Want to see the new version in action? Join the UVL tutorial tomorrow at #splc2022. We cover several tools that embed UVL including FeatureIDEv3.9.0. The tutorial is joint work with @k_feichtinger, @_jagalindo_, @davbencue, @RickRabiser, @ThomasThuem, and Sebastian Krieter.
v3.9.0 has been released with numerous enhancements for UVL models and improved performance for the translation of feature models into CNF: github.com/FeatureIDE/Fea… The release is joint work by University of Ulm and University of Magdeburg.
v3.8.3 is released with several improvements over v3.8.2. In particular, features can be deleted again. It is available on the update site and as prepackaged Eclipse: github.com/FeatureIDE/Fea… Release v3.8.2 is joint work by University of Ulm and University of Magdeburg.
v3.8.2 is released with several improvements over v3.8.1. It is available on the update site and as prepackaged Eclipse: github.com/FeatureIDE/Fea… Release v3.8.2 is joint work by University of Ulm, Harz University of Applied Sciences, and University of Magdeburg.
@FeatureIDE The prepackages are now available under featureide.github.io/#prepackaged-v…. While the prepackages require Java 11 (due to Eclipse), FeatureIDE does not and happily runs under Java 8 in older Eclipse versions (e.g., 4.16). Consult the wiki (github.com/FeatureIDE/Fea…) for more information.
Since 2007, the FeatureIDE development team received support requests from 98 cities located in 30 different countries. Source: github.com/SoftVarE-Group…
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