VML* – a family of languages for variability management in software product lines

  • Authors:
  • Steffen Zschaler;Pablo Sánchez;João Santos;Mauricio Alférez;Awais Rashid;Lidia Fuentes;Ana Moreira;João Araújo;Uirá Kulesza

  • Affiliations:
  • Computing Department, Lancaster University, Lancaster, United Kingdom;Dpto. de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Málaga, Spain;Computer Science Department, Universidade Nova de Lisboa, Lisbon, Portugal;Computer Science Department, Universidade Nova de Lisboa, Lisbon, Portugal;Computing Department, Lancaster University, Lancaster, United Kingdom;Dpto. de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Málaga, Spain;Computer Science Department, Universidade Nova de Lisboa, Lisbon, Portugal;Computer Science Department, Universidade Nova de Lisboa, Lisbon, Portugal;Computer Science Department, Universidade Nova de Lisboa, Lisbon, Portugal

  • Venue:
  • SLE'09 Proceedings of the Second international conference on Software Language Engineering
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Managing variability is a challenging issue in software-product-line engineering. A key part of variability management is the ability to express explicitly the relationship between variability models (expressing the variability in the problem space, for example using feature models) and other artefacts of the product line, for example, requirements models and architecture models. Once these relations have been made explicit, they can be used for a number of purposes, most importantly for product derivation, but also for the generation of trace links or for checking the consistency of a product-line architecture. This paper bootstraps techniques from product-line engineering to produce a family of languages for variability management for easing the creation of new members of the family of languages. We show that developing such language families is feasible and demonstrate the flexibility of our language family by applying it to the development of two variability-management languages.