All Stories

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