All Stories

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