Language-Independent Quantification and Weaving for Feature Composition

kaestner@cs.cmu.edu (S. Boxleitner, S. Apel, C. Kästner)
Fri, 10 Jan 2025 13:48:21 GMT

Stefan Boxleitner, Sven Apel, and Christian Kästner. Language-Independent Quantification and Weaving for Feature Composition. In Proceedings of the 8th International Conference on Software Composition (SC) (SC), ISBN 978-3-642-02654-6, pages 45--54, Berlin/Heidelberg: Springer-Verlag, July 2009. Short Paper.

Based on a general model of feature composition, we present a composition language that enables programmers by means of quantification and weaving to formulate extensions to programs written in different languages. We explore the design space of composition languages that rely on quantification and weaving and discuss our choices. We outline a tool that extends an existing infrastructure for feature composition and discuss results of three initial case studies.