Using similarity metrics for mining variability from software repositories
Mike Mannion, Hermann Kaindl · 2014
Much activity within software product line engineering has been concerned with explicitly representing and exploiting commonality and variability at the feature level for the purpose of a particular engineering task e.g. requirements specification, design, coding, verification, product derivation process, but not for comparing how similar products in the product line are with each other. In contrast, a case-based approach to software development is concerned with descriptions and models as a set of software cases stored in a repository for the purpose of searching at a product level, typically as a foundation for new product development. New products are derived by finding the most similar product descriptions in the repository using similarity metrics.