[Context & motivation] Feature models are used in product line engineering to document possible product configurations on the feature level. [Problem] In order to quantify the success of adopting feature modeling in practice, we need to understand the industry relevant metrics for feature model evaluation. [Solution] In order to identify the metrics a Goal-Question-Metric approach was used in the context of a case study conducted at Adam Opel AG. [Contribution:] We identified seven goals (quality criteria) we should strive for and evaluate when using feature models. Furthermore, we identified 18 sub-goals, 27 questions and corresponding metrics. The metrics were used to reflect on the feature modeling conducted at the company.
CITATION STYLE
Oliinyk, O., Petersen, K., Schoelzke, M., Becker, M., & Schneickert, S. (2015). Metrics for the evaluation of feature models in an industrial context: A case study at opel. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9013, pp. 33–48). Springer Verlag. https://doi.org/10.1007/978-3-319-16101-3_3
Mendeley helps you to discover research relevant for your work.