Model-Driven Generation of Context-Specific Feature Models
type: Dataset
description: International audience
landing page: 25th International Conference on Software Engineering & Knowledge Engineering
keyword: conference-papers
keyword: feature-models
keyword: infoeu-reposemanticsconferenceobject
keyword: infoinfo-mocomputer-science-csmodeling-and-simulation
keyword: model-driven-engineering
keyword: software-product-lines
issued: 2026-05-07T19:52:18.841418
modified: 2026-05-07T19:52:18.841422
language: en
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Model-Driven Generation of Context-Specific Feature Models
type: Distribution
format: HTML
access URL: https://hal-lirmm.ccsd.cnrs.fr/lirmm-00918263
issued: 2026-05-07T19:52:18.848599
modified: 2026-05-07T19:52:18.833866