@FeatureIDE

Eclipse plug-ins for feature-oriented software development

 Ulm, Germany
featureide.github.io/
Joined March 2015
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  • Following12
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57Media
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/Featur… The release is joint work by University of Ulm and University of Magdeburg.
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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/Featur… The release is joint work by University of Ulm and University of Magdeburg.
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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/Sl… original paper: dl.acm.org/doi/10.1109/ICSE.… paper with corrections: github.com/SoftVarE-Group/Pa…
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v3.9.2 has been released with multiple enhancements and bugfixes over v.3.9.1: github.com/FeatureIDE/Featur… The release is joint work by University of Ulm and University of Magdeburg.
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v3.9.1 has been released with multiple enhancements and bugfixes over v.3.9.0: github.com/FeatureIDE/Featur… The release is joint work by University of Ulm and University of Magdeburg.
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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
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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=g1LGIAez… Demo paper: dl.acm.org/doi/abs/10.1145/3… More @splcconf awards: 2022.splc.net/program/awards…

Subset Product Lines in FeatureIDE (v3.9.0)

Given a product line and a partial configuration, FeatureIDE can au...

youtube.com
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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/acap… #SPLC2022 @splcconf @miguelijordan @danstrueb @szschaler
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4 years ago I promoted to discuss the creation of a Universal Variability Language (UVL), now is included in Feature IDE and I am trying out by myself. So happy! @splcconf #splc2022
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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.
FeatureIDE@FeatureIDE12 Sep 2022
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/Featur… The release is joint work by University of Ulm and University of Magdeburg.
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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/Featur… The release is joint work by University of Ulm and University of Magdeburg.
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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/Featur… Release v3.8.2 is joint work by University of Ulm and University of Magdeburg.
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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/Featur… Release v3.8.2 is joint work by University of Ulm, Harz University of Applied Sciences, and University of Magdeburg.
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FeatureIDE retweeted
Tobias Heß@h3ssto10 Jan 2022
Replying to @FeatureIDE
The prepackages are now available under featureide.github.io/#prepac…. 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/Featur…) for more information.
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v3.8.1 is released with significant improvements over v3.8.0. It is available on the update site and prepackaged versions will follow soon: github.com/FeatureIDE/Featur… We strongly recommend the update as prior versions produce wrong analysis results for certain feature models.
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Release v3.8.1 contains contributions by Benedikt Jutz, Chico Sundermann (@ChicoSundermann), Elias Kuiter (@ekuiter), Johannes Herschel, Kevin Jedelhauser, Rahel Arens, Sebastian Krieter, Thomas Thüm (@ThomasThuem), and Tobias Heß (@h3ssto).
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Release v3.8.1 is joint work by University of Ulm, Harz University of Applied Sciences, and University of Magdeburg. Most of the contributions have been developed by a team of four master students in a software-engineering project at University of Ulm.
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Do you use FeatureIDE v3.7.0, v3.7.1, v3.7.2, or v3.8.0? We found a critical bug in the translation of feature models to conjunctive normal form, which causes WRONG ANALYSIS RESULTS for certain models. Please update to v3.7.3 or v3.8.1. Spread the news! github.com/FeatureIDE/Featur…

Releases · FeatureIDE/FeatureIDE

An extensible framework for feature-oriented software development - FeatureIDE/FeatureIDE

github.com
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More details on the bug: github.com/FeatureIDE/Featur… Thanks to Marc Hentze and Chico Sundermann for the report and Sebastian Krieter for the fix.
Since 2007, the FeatureIDE development team received support requests from 98 cities located in 30 different countries. Source: github.com/SoftVarE-Group/Sl…
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