Eclipse plug-ins for feature-oriented software development
Ulm, Germany
Joined March 2015
- Tweets119
- Following12
- Followers140
- Likes47
FeatureIDE retweeted
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…
FeatureIDE retweeted
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
FeatureIDE retweeted
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
FeatureIDE retweeted
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/Featur…
The release is joint work by University of Ulm and University of Magdeburg.
FeatureIDE retweeted
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.
FeatureIDE retweeted
My new excuse for being late in meetings is that I am loading a big feature model in @FeatureIDE and my computer is frozen. #truestory
FeatureIDE retweeted
In April 2007, two students and I started the development on @FeatureIDE using #SVN. In May 2009, we published @FeatureIDE open-source under #LGPLv3 (without its former history). In 2014, I migrated the #SVN history to #git and @Github, because of these trendlines. What's next?
The interest in different version control systems in Germany over time. Why is git declining since 2019?
local only: #SCCS (1972), #RCS (1982)
centralized: #CVS (1986), #SVN (2000)
distributed: #git (2005), #mercurial (2005)
trends.google.com/trends/exp…
FeatureIDE retweeted
Rahel Arens will give a demo on @FeatureIDE at #fosd21 today (6:40pm, UTC+2). We are looking forward to meet you at wonder.me. What do you want to see in action? Let us know below.
Related demos on YouTube:
youtube.com/watch?v=gj7EOZKT…
youtube.com/watch?v=mF2_hDA-…
FeatureIDE retweeted
Thomas Thüm will give a keynote @splcconf, He's a young and leading researcher in feature oriented software development and maintains the @FeatureIDE project uni-ulm.de/in/sp/team/thuem/
FeatureIDE retweeted
"As a feature modeling tool we have used @FeatureIDE. It was easy to learn, easy to handle, extremely useful from the start, and it has been convenient, fast, aesthetic and reliable ever since."
Experience report by KfW starting at 7:30 CET at @splcconf
dl.acm.org/doi/10.1145/33820…
FeatureIDE retweeted
Enhancement #1009 is very helpful if you want to create a chain with the BeTTy framework and its advanced random feature model (FM) generator algorithms (also Java-based) @ISAGroupSevilla. If you want random FMs without special needs, FeatureIDE can also provide them to you #1008
v3.6.4 is released with contributions by Tobias Heß, Sebastian Krieter, Joshua Sprey, Chico Sundermann, Thomas Thüm, Sören Viegener, Philipp Vulpius, and Paul Westphal.
The release is joint work by three research groups: @sp_uulm @isf_tubs @DBSEgroup
github.com/FeatureIDE/Featur…
FeatureIDE retweeted
I would like to thank all the persons behind @FeatureIDE . Bug reports and enhancements are really taken into account (for many years)
FeatureIDE retweeted
You don't know how to use feature attributes or compute attribute ranges with @FeatureIDE? Chico Sundermann invested some time to help you with the first steps.
youtube.com/watch?v=36YJ8H6W…
FeatureIDE retweeted
A new kind of analysis in @FeatureIDE is shown at #VaMoS2020: the attribute range analysis
FeatureIDE retweeted
When reading change logs it reads as if software is only getting better which each revision.
For @FeatureIDE, I started today to write honest change logs also mentioning newly introduced bugs. Hope this helps users to find the right version to work with.
github.com/FeatureIDE/Featur…
FeatureIDE retweeted
SPLC S4: Challenges and Solutions. Product Sampling for Product Lines: The Scalability Challenge, by T. Pett, T. Thüm, T. Runge, S. Krieter, M. Lochau, I. Schaefer. doi.org/10.1145/3336294.3336… #SPLC2019
FeatureIDE retweeted
If you are tomorrow attending to my tutorial on variability modeling of Simulink models at @splcconf, material is available at github.com/aitorarrietamarco… —> it is highly recommended to bring MATLAB/Simulink and @FeatureIDE installed!
FeatureIDE retweeted
Short course of FeatureIDE to undergraduate students at Federal University of Technology - Paraná. Part of the 5th Engineering and Technology Scholar Week.
FeatureIDE retweeted
A great blog post explaining why model counting (i.e., counting the number of satisfying assignments for a propositional formula) is hard and how approximate solutions can help. If you ever wondered why @FeatureIDE is so slow in counting solutions, it is using the naive solution.
Wrote a short blog on how approximate model counting works: msoos.org/2018/12/how-approx…
If you always wanted to count millions of balls but had no idea how to do it efficiently, it's the prefect place to start ;)