GreatSPN 1.7: graphical editor and analyzer for timed and stochastic Petri nets
Performance Evaluation - Special issue: performance modeling tools
Performance and reliability analysis of computer systems: an example-based approach using the SHARPE software package
The Möbius Framework and Its Implementation
IEEE Transactions on Software Engineering
Distributed and Parallel Databases
SHARPE 2002: Symbolic Hierarchical Automated Reliability and Performance Evaluator
DSN '02 Proceedings of the 2002 International Conference on Dependable Systems and Networks
Repairable Fault Tree for the Automatic Evaluation of Repair Policies
DSN '04 Proceedings of the 2004 International Conference on Dependable Systems and Networks
Using Repairable Fault Trees for the Evaluation of Design Choices for Critical Repairable Systems
HASE '05 Proceedings of the Ninth IEEE International Symposium on High-Assurance Systems Engineering
Multisolution of Complex Performability Models in the OsMoSys/DrawNET Framework
QEST '05 Proceedings of the Second International Conference on the Quantitative Evaluation of Systems
Interfaces and binding in component based development of formal models
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
Multiformalism and transformation inheritance for dependability analysis of critical systems
IFM'10 Proceedings of the 8th international conference on Integrated formal methods
Defining Formalisms for Performance Evaluation With SIMTHESys
Electronic Notes in Theoretical Computer Science (ENTCS)
Exploiting multiformalism models for testing and performance evaluation in SIMTHESys
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
International Journal of Critical Computer-Based Systems
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The use of multi-formalism techniques is very appealing in modeling complex systems since they allow for building of complex models by integrating or composing sub-models specified by different formalisms. Hence, the most suitable formalism may be used according to the evaluation goals, the level of abstraction of the sub-models and the nature of the sub-systems. Each formalism is usually coupled with efficient solution methods, thus multi-solution approaches are needed to solve multi-formalism models whose analysis involves different techniques and tools. In this paper the software architecture of the OsMoSys Multi-solution Framework (OMF) is presented. OMF was born to provide the support needed to allow for loosely coupled cooperation among heterogeneous analysis techniques and tools, and automates the tasks that must be performed to solve complex multiformalism models. OMF does not require that heterogeneous models are translated into a common formalism in order to be solved, nor that the available tools are modified to be integrated in the framework, but it achieves multisolution by orchestration.