Feature Identification from the Source Code of Product Variants

  • Authors:
  • Tewfik Ziadi;Luz Frias;Marcos Aurelio Almeida da Silva;Mikal Ziane

  • Affiliations:
  • -;-;-;-

  • Venue:
  • CSMR '12 Proceedings of the 2012 16th European Conference on Software Maintenance and Reengineering
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

In order to migrate software products which are deemed similar into a product line, it is essential to identify the common features and the variations between the product variants. This can however be tedious and error-prone as it may involve browsing complex software and a lot of more or less similar variants. Fortunately, if arte facts of the product variants (source code files and/or models) are available, feature identification can be at least partially automated. In this paper, we thus propose a three-step approach to feature identification from source code of which the first two steps are automated.