Interpretation of Linguistic Architecture

摘要

The megamodeling language MegaL is designed to model the linguistic architecture of software systems: the relationships between software artifacts (e.g., files), software languages (e.g., programming languages), and software technologies (e.g., code generators) used in a system. The present paper delivers a form of interpretation for such meg-amodels: resolution of megamodel elements to resources (e.g., system artifacts) and evaluation of relationships, subject to designated programs (such as pluggable 'tools' for checking). Interpretation reduces concerns about the adequacy and meaning of megamodels, as it helps to apply the megamodels to actual systems. We leverage Linked Data principles for surfacing resolved megamodels by linking, for example, artifacts to GitHub repositories or concepts to DBpedia resources. We provide an executable specification (i.e., semantics) of interpreted megamodels and we discuss an implementation in terms of an object-oriented framework with dynamically loaded plugins.