@conference {D{\textquoteright}Ambrogio2016,
	title = {Towards performance-oriented perfective evolution of BPMN models},
	booktitle = {Proceedings of the 2016 Spring Simulation Multiconference - TMS/DEVS Symposium on Theory of Modeling and Simulation, TMS/DEVS 2016},
	year = {2016},
	note = {cited By 0},
	publisher = {The Society for Modeling and Simulation International},
	organization = {The Society for Modeling and Simulation International},
	abstract = {<p>Simulation techniques are successfully applied to analyze and validate the performance of a business process (BP) since the early phases of its lifecycle, when the BP representation is commonly specified in BPMN. The BP simulation model is first to be built from the BPMN model, then implemented and finally executed to yield the performance indices of interest. The model building activity includes a parameterization task that is carried out either by use of tool-specific facilities or through standardized languages for specifying simulation model parameters. In both cases, the parameters have to be externally linked to the BPMN model. A similar reasoning applies to the simulation results. This paper introduces a BPMN extension to annotate BPMN models with both the input parameters and the results provided by the BP analysis, so as to include in a single BPMN model all the data associated to the simulation-based analysis of a given BP. The paper also outlines an architecture that exploits the proposed extension to realize the performance-oriented perfective evolution of BPMN models, or the ability to introduce a feedback chain that makes use of simulation results to automatically refactor a BP model in order to better meet the BP performance objectives. {\textcopyright}2016 Society for Modeling \&amp; Simulation International (SCS).</p>},
	keywords = {BPMN, Business Process, Circuit simulation, Performance indices, Performance objective, Performance-oriented, Simulation, Simulation technique, Simulation-based analysis, Software architecture, Software engineering},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978142027\&partnerID=40\&md5=d9a565c888c8c352dcbe3e6d0a81d2ac},
	author = {Andrea D{\textquoteright}Ambrogio and Paglia, E. and Bocciarelli, P. and Giglio, A.},
	editor = {Barros F., Hu X., Denil J., Prahofer H.}
}
@conference {Bocciarelli20081,
	title = {A measurement framework for the parameterization of performance models of soa-based systems},
	booktitle = {Proceedings of the IASTED International Conference on Software Engineering, SE 2008},
	year = {2008},
	note = {cited By 1},
	pages = {1-6},
	abstract = {Distributed applications are rapidly converging towards the adoption of a computing paradigm based on service-oriented architectures, according to which an application can be seen as a composite web service that is built by assembling a set of existing services, executed on internetworked server hosts. In such a context, service providers are strategically interested both to describe the performance characteristics of offered services, to better qualify their offer and gain a significant advantage in the global marketplace; and to predict the level of performance that can be offered to service consumers. To this purpose, the paper introduces a framework for the management of performance parameters, defining the architecture that enables service providers to measure and make available performance information about the offered services. On the other hand the proposed approach allows the service consumers to automatically retrieve the performance data and then use such data to apply model-driven approaches for the performance analysis of composite web services.},
	keywords = {Composite web services, Computing paradigms, Distributed applications, Global marketplaces, Information services, Internetworked, LQN, Model-driven approaches, Parameters, Performance, Performance analysis, Performance characteristics, Performance datum, Performance models, Performance parameters, Service oriented architecture (SOA), Service providers, Service-oriented architectures, SOA, Soa-based systems, Software engineering, Spontaneous emission, Web services},
	isbn = {9780889867154},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-62849121929\&partnerID=40\&md5=86f31e7a2aba49f609769114bee66712},
	author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio}
}
