Schwinger: ModelCVS - A Semantic Infrastructure for Model-based Tool Integration

With the rise of model-driven software development, more and more development tasks are being performed on models. A rich variety of modeling tools is available supporting different tasks, such as model creation, model simulation, model checking, and code generation. Seamless exchange of models among different modeling tools increasingly becomes a crucial prerequisite for effective software development processes. Due to lack of interoperability, however, it is often difficult to use tools in combination, thus the potential of model-driven software development cannot be fully utilized – unless we find some scalable way of integration. We are aiming at providing a semantic infrastructure for model-based tool integration, enabling to facilitate any tool appropriate for the modeling task at hand. The key innovations provided are a set of scalable architectural model integration patterns supported by a highlevel metamodel integration language, thus going beyond existing low-level model transformation approaches. Ontology-based metamodel integration considerably lowers the manual effort required for tool integration, enabling a novel synergic use of technologie

Towards a semantic infrastructure supporting model-based tool integration. GaMMa '06

With the rise of model-driven software development, more and more development tasks are being performed on models. Seamless exchange of models among different modeling tools increasingly becomes a crucial prerequisite for effective software development processes. Due to lack of interoperability, however, it is often difficult to use tools in combination, thus the potential of model-driven software development cannot be fully utilized. To tackle this problem, we propose ModelCVS, a system aiming at model-based tool integration. ModelCVS enables transparent transformation of models between different tools ’ languages and exchange formats, as well as versioning exploiting the rich syntax and semantics of models, thus going beyond existing low-level model transformation approaches. For this, ModelCVS utilizes semantic technologies in terms of ontologies and supports different integration patterns at the metamodel level. To foster reuse, a knowledge base captures essential information relevant for tool integration

Monitoring and analyzing service-based internet systems through a model-aware service environment

As service-based Internet systems get increasingly complex they become harder to manage at design time as well as at runtime. Nowadays, many systems are described in terms of precisely specified models, e.g., in the context of model-driven development. By making the information in these models accessible at runtime, we provide better means for analyzing and monitoring the service-based systems. We propose a model-aware repository and service environment (MORSE) to support model access and evolution at both design time and runtime. MORSE focuses on enabling us to monitor, interpret, and analyze the monitored information. In an industrial case study, we demonstrate how compliance monitoring can benefit from MORSE to monitor violations at runtime and how MORSE can ease the root cause analysis of such violations. Performance and scalability evaluations show the applicability of our approach for the intended use cases and that models can be retrieved during execution at low cost. © Springer-Verlag Berlin Heidelberg 2010