@conference {157,
	title = {Business process modeling and simulation: State of the art and MSaaS opportunities},
	booktitle = {Proceedings of the 2017 Summer Simulation Multi-Conference (SummerSim 2017)},
	year = {2017},
	publisher = {The Society for Modeling and Simulation International},
	organization = {The Society for Modeling and Simulation International},
	abstract = {<p>The analysis and continuous improvement of business processes (BPs) has a strategic relevance for those enterprises that strongly rely on the performance of their operational processes to deliver services and/or goods to customers. The adoption of Modeling \&amp; Simulation (M\&amp;S) approaches is widely recognized as a valuable solution for analyzing and improving BPs, even though it is not yet fully exploited, due to the required know-how, effort and cost. In this context, M\&amp;S as a Service (MSaaS) is a promising paradigm that contributes to effectively ease the introduction of M\&amp;S approaches in the BP lifecyle, by saving the investments required to build and maintain the needed hardware and software infrastructure. This paper first illustrates a survey that analyzes the state-of-The-Art regarding the adoption of M\&amp;S approaches in the BP domain and then, starting from a set of identified open issues, proposes a next generation MSaaS architecture which aims at enabling a time-And cost-effective M\&amp;S-based analysis of BPs. {\textcopyright} 2017 Society for Modeling \&amp; Simulation International (SCS).</p>},
	keywords = {Architecture, Business Process, Business process model, Continuous improvements, Cost benefit analysis, Cost effective, Cost effectiveness, Hardware and software, Investments, MSaaS, Operational process, State of the art, Surveying, Surveys, Systems engineering, Technology transfer},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029479125\&partnerID=40\&md5=ba1a219978ded9acd748ff217becba43},
	author = {Bocciarelli, P. and D{\textquoteright}Ambrogio, A. and Mastromattei, A. and Paglia, E. and Giglio, A.},
	editor = {Syriani E. and D{\textquoteright}Ambrogio A.}
}
@conference {156,
	title = {A cloud-based service-oriented architecture for business process modeling and simulation},
	booktitle = {CEUR Workshop Proceedings {\textendash} INCOSE Italia Conference on Systems Engineering},
	year = {2017},
	publisher = {CEUR-WS},
	organization = {CEUR-WS},
	abstract = {<p>The adoption of Modeling \&amp; Simulation (M\&amp;S) approaches is widely recognized as a valuable solution for enacting a timely analysis of business processes (BPs). Despite their relevance, the effective introduction of such approaches in the BP lifecycle is still limited, due to the know-how and skills for building and implementing a simulation model and to the cost and effort for setting up and maintaining the execution platform. In this respect, this paper proposes a cloud-based architecture that exploits the M\&amp;S as a Service (MSaaS) paradigm and containerization technology for the flexible and dynamic composition of M\&amp;S services, so to allow business analysts to carry out an effortless and effective M\&amp;S-based BP analysis. An example case study dealing with an e-commerce scenario is also presented in order to show the actual application of the proposed approach.</p>},
	keywords = {Business analysts, Business Process, Business process model, Cloud-based, Cloud-based architectures, Computer architecture, Dynamic composition, Execution platforms, Information services, Service oriented architecture (SOA), Simulation model, Systems engineering, Technology transfer},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85038838268\&partnerID=40\&md5=801305b85d284d68f1f5963ae4bc3f4d},
	author = {Bocciarelli, P. and D{\textquoteright}Ambrogio, A. and Paglia, E. and Panetti, T. and Giglio, A.}
}
@conference {Bocciarelli2014278,
	title = {Empowering business process simulation through automated model transformations},
	booktitle = {Simulation Series},
	volume = {46},
	number = {4},
	year = {2014},
	note = {cited By 2},
	pages = {278-286},
	publisher = {The Society for Modeling and Simulation International},
	organization = {The Society for Modeling and Simulation International},
	abstract = {Simulation is one of the most relevant techniques that can be used in the business process management domain to effectively enact a continuous enhancement of business processes (BPs). However, the effectiveness of BP simulation is still limited for several reasons (e.g., lack of simulation know-how of BP analysts, simulation model parameters hard to determine, semantic gap between the business process model and the simulation model). To overcome these limitations, this paper proposes a model-driven method that introduces a set of model transformations to automate the generation of executable simulation code of a BP from its abstract definition in BPMN, the standard language for specifying business processes. The simulation code is specified in eBPMN, a Java-based domain-specific language that has been designed and implemented according to the BPMN execution semantics.},
	keywords = {Administrative data processing, BPM, BPMN, Computer simulation, Computer simulation languages, EBPMN, Enterprise resource management, Mathematical models, MDA, Model transformation, Problem oriented languages, Semantics, Software architecture, Technology transfer},
	isbn = {9781632662156},
	issn = {07359276},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901985241\&partnerID=40\&md5=ebb5d7bb28209e8901e06a4b70f40735},
	author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio and Giglio, A. and Paglia, E. and Gianni, D.}
}
