Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network

  Advanced Search  

Language-Independent Quantification and Weaving for Feature Composition

Summary: Language-Independent Quantification and Weaving for
Feature Composition
Stefan Boxleitner
, Sven Apel
, and Christian Kästner

Department of Informatics and Mathematics, University of Passau, Germany

School of Computer Science, University of Magdeburg, Germany
Abstract. Based on a general model of feature composition, we present a compo-
sition 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 infrastruc-
ture for feature composition and discuss results of three initial case studies. We
found that, due to its language independence, our approach is less powerful than
aspect-oriented languages but still usable for many implementation problems.
1 Introduction


Source: Apel, Sven - Fakultät für Informatik und Mathematik, Universität Passau


Collections: Computer Technologies and Information Sciences