All Stories

  1. Testing Uniform Random Samplers: Methods, Datasets and Protocols
  2. Embracing Deep Variability For Reproducibility and Replicability
  3. Testing for Fault Diversity in Reinforcement Learning
  4. Options Matter: Documenting and Fixing Non-Reproducible Builds in Highly-Configurable Systems
  5. Exploring the Computational Complexity of SAT Counting and Uniform Sampling with Phase Transitions
  6. Preprocessing is What You Need: Understanding and Predicting the Complexity of SAT-based Uniform Random Sampling
  7. A Demonstration of End-User Code Customization Using Generative AI
  8. On Programming Variability with Large Language Model-based Assistant
  9. Generative AI for Reengineering Variants into Software Product Lines
  10. Specialization of Run-time Configuration Space at Compile-time: An Exploratory Study
  11. A Call for Removing Variability
  12. From feature models to feature toggles in practice
  13. Beware of the Interactions of Variability Layers When Reasoning about Evolution of MongoDB
  14. On the benefits and limits of incremental build of software configurations
  15. Towards incremental build of software configurations
  16. On the Interaction of Feature Toggles
  17. Transferring Performance between Distinct Configurable Systems : A Case Study
  18. Reproducible Science and Deep Software Variability
  19. The interplay of compile-time and run-time options for performance prediction
  20. Fourth International Workshop on Languages for Modelling Variability (MODEVAR@SPLC 2021)
  21. A comparison of performance specialization learning for configurable systems
  22. BURST
  23. REVE 2020
  24. Third International Workshop on Languages for Modelling Variability (MODEVAR@SPLC 2020)
  25. Machine learning and configurable systems
  26. Test them all, is it worth it?
  27. Co-evolving code with evolving metamodels
  28. On the power of abstraction
  29. MALTESQUE 2019 Workshop Summary
  30. Towards Learning-Aided Configuration in 3D Printing
  31. VaryLATEX
  32. Yo variability! JHipster
  33. A formal modeling and analysis framework for software product line of preemptive real-time systems
  34. Product lines can jeopardize their trade secrets
  35. MatrixMiner: a red pill to architect informal product descriptions in the matrix
  36. Automating the formalization of product comparison matrices
  37. Comparing or configuring products
  38. A survey on teaching of software product lines
  39. Support for reverse engineering and maintaining feature models