FeatureIDE

Eclipse plug-ins for feature-oriented software development

[FeatureIDE @FeatureIDE]

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:
https://t.co/rTn7hmJFvm

The release is joint work by University of Ulm and University of Magdeburg.

[FeatureIDE @FeatureIDE]

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:

https://t.co/5hr0zXcLe8

The release is joint work by University of Ulm and University of Magdeburg.

[Thomas Thüm @ThomasThuem]

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: https://t.co/dByUhzruTl
original paper: https://t.co/RLeGLi8Z3k
paper with corrections: https://t.co/DXBd1FqSHA

[FeatureIDE @FeatureIDE]

v3.9.2 has been released with multiple enhancements and bugfixes over v.3.9.1:

https://t.co/7W8A2QlPoN

The release is joint work by University of Ulm and University of Magdeburg.

[FeatureIDE @FeatureIDE]

v3.9.1 has been released with multiple enhancements and bugfixes over v.3.9.0:

https://t.co/5Jmy5n5iHP

The release is joint work by University of Ulm and University of Magdeburg.

[ACM Digital Library @ACMDL]

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 https://t.co/MQ84MPckmv

[FeatureIDE @FeatureIDE]

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: https://t.co/bf1I2QSsaj
Demo paper: https://t.co/7yGWHMSG5E
More @splcconf awards: https://t.co/IGMtHTpbPM

[Jabier Martinez @jabier_lab]

Acapulco: An extensible tool for identifying optimal & consistent configurations
built on top of @FeatureIDE
using Consistency-Preserving Operators for Efficient Product Line Configuration
https://t.co/7KrsdnqZIg
#SPLC2022 @splcconf
@miguelijordan @danstrueb @szschaler

[David Benavides @davbencue]

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

[Chico Sundermann @ChicoSundermann]

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 @FeatureIDE]

v3.9.0 has been released with numerous enhancements for UVL models and improved performance for the translation of feature models into CNF:

https://t.co/bkRkdl14Pk

The release is joint work by University of Ulm and University of Magdeburg.

[FeatureIDE @FeatureIDE]

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: https://t.co/JKiTM1s4Ih

Release v3.8.2 is joint work by University of Ulm and University of Magdeburg.

[FeatureIDE @FeatureIDE]

v3.8.2 is released with several improvements over v3.8.1. It is available on the update site and as prepackaged Eclipse: https://t.co/ak2F12rtjH

Release v3.8.2 is joint work by University of Ulm, Harz University of Applied Sciences, and University of Magdeburg.

[Tobias Heß @h3ssto]

@FeatureIDE The prepackages are now available under https://t.co/tpHW1WtL1L.

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 (https://t.co/M8NoFISFWw) for more information.

[FeatureIDE @FeatureIDE]

@ChicoSundermann @ekuiter @ThomasThuem @h3ssto 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.

[FeatureIDE @FeatureIDE]

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: https://t.co/HHa88Feb7v

We strongly recommend the update as prior versions produce wrong analysis results for certain feature models.

[FeatureIDE @FeatureIDE]

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).

[FeatureIDE @FeatureIDE]

More details on the bug: https://t.co/m3EJvCJQ83

Thanks to Marc Hentze and Chico Sundermann for the report and Sebastian Krieter for the fix.

[FeatureIDE @FeatureIDE]

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!

https://t.co/AXjnLqpog0

[FeatureIDE @FeatureIDE]

Since 2007, the FeatureIDE development team received support requests from 98 cities located in 30 different countries.

Source: https://t.co/eAZNj7lnEY