SEED: Software Engineering Evidence Database

Author(s): J-P Tolvanen, S Kelly
Venue: Software Product Line Conference 2005, Springer-Verlag, LNCS 3714
Date: 2005

Type of Experiement: Survey/Multi-Case Study
Sample Size: 23
Class/Experience Level: Professional
Data Collection Method: Observation, Project Artifact(s)

Domain-Specific Modeling offers a language-based approach to raise
the level of abstraction in order to speed up development work and set variation
space already at specification and design phase. In this paper we identify
approaches that are applied for defining languages that enable automated
variant derivation. This categorization is based on analyzing over 20 industrial
cases of DSM language definition.

Published with permission from Springer-Verlag via personal web-page at:
http://users.jyu.fi/~jpt/TolKelSPLC2005.pdf