Feature Model

VaryMinions: Leveraging RNNs to Identify Variants in Variability-intensive Systems' Logs

From business processes to course management, variability-intensive software systems (VIS) are now ubiquitous. One can configure these systems' behaviour by activating options, e.g., to derive variants handling building permits across municipalities …

Towards Feature-based ML-enabled Behaviour Location

Mapping behaviours to the features they relate to is a prerequisite for variability-intensive systems (VIS) reverse engineering. Manually providing this whole mapping is labour-intensive. In black-box scenarios, only execution traces are available …

Test them all, is it worth it? Assessing configuration sampling on the JHipster Web development stack

Many approaches for testing configurable software systems start from the same assumption: it is impossible to test all configurations. This motivated the definition of variability-aware abstractions and sampling techniques to cope with large …

Uniform Sampling of SAT Solutions for Configurable Systems : Are We There Yet ?

Uniform or near-uniform generation of solutions for large satisfiability formulas is a problem of theoretical and practical interest for the testing community. Recent works proposed two algorithms (namely UniGen and QuickSampler) for reaching a good …

Yo variability! JHipster: a playground for web-apps analyses

Though variability is everywhere, there has always been a shortage of publicly available cases for assessing variability-aware tools and techniques as well as supports for teaching variability-related concepts. Historical software product lines …