Process Management
The Audition Framework for TestingWeb Services Interoperability
EUROMICRO '05 Proceedings of the 31st EUROMICRO Conference on Software Engineering and Advanced Applications
From business process models to process-oriented software systems
ACM Transactions on Software Engineering and Methodology (TOSEM)
Process modeling for simulation
Computers in Industry
Winter Simulation Conference
Optimizing a Business Process Model by Using Simulation
PADS '10 Proceedings of the 2010 IEEE Workshop on Principles of Advanced and Distributed Simulation
A BPMN extension for modeling non functional properties of business processes
Proceedings of the 2011 Symposium on Theory of Modeling & Simulation: DEVS Integrative M&S Symposium
Automated performance analysis of business processes
Proceedings of the 2012 Symposium on Theory of Modeling and Simulation - DEVS Integrative M&S Symposium
A model-driven method for building distributed simulation systems from business process models
Proceedings of the Winter Simulation Conference
Simulation standard for business process management
Proceedings of the Winter Simulation Conference
Business Process Modeling and simulation
Proceedings of the Winter Simulation Conference
Metamodeling and model transformations in modeling and simulation
Proceedings of the Winter Simulation Conference
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The intrinsic geographical distribution and the increasing complexity are two significant properties of modern business processes (BPs) that have not been fully addressed by existing simulation tools for BP analysis. Quantitative analysis of BPs is essential both at design time, to predict the BP quality of service (QoS), and at execution time, to dynamically reconfigure the BP and guarantee the pre-agreed QoS. In this respect, this work proposes a model-driven QoS-aware framework for simulation-based quantitative analysis of BPs. Specifically, the framework adopts a distributed simulation approach that replicates the service-oriented infrastructure of a BP into the corresponding simulation infrastructure based on the HLA-Evolved standard. The proposed framework assumes a scenario in which service providers publish a set of simulation-oriented services that can be subsequently used by interested consumers to dynamically discover and evaluate the QoS of the offered services. Key to the economical feasibility of this scenario is that a model-driven approach is used to automate the derivation of the simulation software from the BPMN (Business Process Model & Notation) models of the actual BPs. The paper presents both the proposed model-driven framework, named 4SEE, and an example application to a BP for an e-commerce scenario.