Theory of Modeling and Simulation
Theory of Modeling and Simulation
CD++: a toolkit to develop DEVS models
Software—Practice & Experience
Discrete Event Simulation of Hybrid Systems
SIAM Journal on Scientific Computing
PrIMe: a software engineering methodology for developing provenance-aware applications
Proceedings of the 6th international workshop on Software engineering and middleware
Provenance implementation in a scientific simulation environment
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
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DEVS models are getting to be more and more sophisticated due to large scale objectives such as modeling complex physical continuous systems. The assurance of the validity and quality of simulation data handling and analysis may lead to a great challenge. Thus, a need of providing insight of DEVS simulation performance can arise. In particular, information about simulation processes workflow and internal data values and management. Provenance-aware systems are designed to satisfy those needs by documenting processes and casual dependencies. Provenance is a critical concept in scientific workflows, since it allows scientists to understand the origin of their results, to repeat their experiments, and to validate the processes that were used to derive data products. Recently, the provenance community agreed that a "Provenance Challenge" should be set to compare and understand existing approaches and updated the Open Provenance Model (OPM). We introduce provenance documentation technology to uncover DEVS models behaviours during a simulation. In addition, we apply the OPM formalization due to interoperability reasons and provide support to the Third Provenance Challenge.