Delighted to announce that a corner stone of my PhD research has been accepted into SPLC 2025. "Towards Deterministic Compilation of BDDs From Feature Models" Joint work w/ Sean Semmler, Chico Sundermann, Jacobo Torán, Thomas Thüm Abstract ⬇️

The #GPCE24 deadlines have been extended to: Abstract Submission: June 11, 2024 Paper Submission: June 18, 2024 CfP: 2024.splashcon.org/home/gpce-2024… Please help to spread the news!

In other news, our (w/ Simon Karrer, Osti) paper "Multi-Version Decision Propagation for Configuring Feature Models in Space and Time" was just accepted at Re:Volution SPLC 2025. #SPLC24 Abstract ⬇️

Interested in large scale empirical analyses of version histories in configurable software? Let's meet at 12:12 at FSE 2025 tomorrow where I'll present our tool DiffDetective! #FSE2024 Check out our tool website here: variantsync.github.io/DiffDetective/

We are super happy and grateful for receiving the FSE 2025 best demo paper award at #FSE2024! Shout-out to my co-authors @SchultheissAlex , Benjamin Moosherr, Timo Kehrer, and Thomas Thüm ! Preprint: raw.githubusercontent.com/SoftVarE-Group…

Tobias Heß (Tobias Heß) presenting our work on configuring feature-models in space and time. #RE_VOLUTION24 #SPLC24 Joint work with Simon Karrer, Osti Paper: dl.acm.org/doi/10.1145/36… Demo¹: main.variability.dev/configuratorMu… ¹: Limited demo, updates coming soon.

Sandra Greiner (@sandragreiner) presenting our foundational work on optimizing the accuracy of retroactive feature-tracing techniques with pinpointed proactive knowledge exploitation. Part of the VariantSync project. Authors ⬇️

Tobias Heß (Tobias Heß) presenting a novel deterministic variable ordering algorithm based on the detection of XOR groups and the scalability improvements it yields when compiling binary decision diagrams from real-world feature models. #SPLC24

Tobias Pett is presenting our work on improving the practicability of t-wise sampling by distinguishing between critical and non-critical and increasing t and coverage of the more critical features. Paper: dl.acm.org/doi/10.1145/36… Extended Preprint: arxiv.org/abs/2406.19801

Congratulations to the authors for winning the "Best Research Paper Award" at #SPLC24!

Our work "Pick Me: Judging Sample Quality with Binary Decision Diagrams" has been accepted into SPLC 2025'25 🎉. This work is based on the Bachelor's Thesis of my amazing student Aaron Molt (who will be looking for a PhD position soon 😉). Details and preprint below ⬇️ #SPLC25