@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 {Bocciarelli20153012,
	title = {Simulation-based performance and reliability analysis of business processes},
	booktitle = {Proceedings - Winter Simulation Conference},
	volume = {2015-January},
	year = {2015},
	note = {cited By 2},
	pages = {3012-3023},
	publisher = {Institute of Electrical and Electronics Engineers Inc.},
	organization = {Institute of Electrical and Electronics Engineers Inc.},
	abstract = {<p>The use of process modeling combined with the use of simulation-based analysis provides a valuable way to analyze business processes (BPs) and to evaluate design alternatives before committing resources and effort. The simulation-based analysis of BPs usually addresses performance in terms of efficiency, i.e., focusing on time-related properties (e.g., throughput or execution time). Differently, this paper proposes an automated method for the analysis of BPs in terms of both efficiency-related performance and reliability. In addition, the method allows business analysts to carry out a joint performance and reliability analysis by introducing a so-called performability attribute. The proposed method is illustrated by use of a running example dealing with a conventional e-commerce scenario. {\textcopyright} 2014 IEEE.</p>},
	keywords = {Automated methods, Business analysts, Business Process, Design alternatives, Joint performance, Performance and reliabilities, Process Modeling, Reliability, Reliability analysis, Simulation-based analysis},
	isbn = {9781479974863},
	issn = {08917736},
	doi = {10.1109/WSC.2014.7020140},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84940521933\&partnerID=40\&md5=04c0407c66dbcda5756df2c96a686040},
	author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio and Giglio, A. and Paglia, E.},
	editor = {Tolk A., Diallo S.Y., Ryzhov I.O., Yilmaz L.}
}
