Automated Software Product Line Engineering and Product Derivation

  • Authors:
  • Hassan Gomaa;Michael E. Shin

  • Affiliations:
  • George Mason University, USA;Texas Tech University, USA

  • Venue:
  • HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
  • Year:
  • 2007

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Abstract

This paper describes a prototype automated software product line engineering environment, in which a multiple view model of the product line architecture and components are developed and stored in a product line repository. Automated software product derivation consists of tailoring the product line architecture given the product features and selecting the components to be included in the product. The automated environment is built on top of Rational Rose RT. Automated support is provided for developing multiple product line views, using the feature model as the unifying view, an underlying product line meta-model that provides a schema for a product line repository, support for consistency checking among the multiple views, and support for feature-based product line derivation.