@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.}
}
@conference {Gianni2012,
	title = {Model-driven performance prediction of HLA-based distributed simulation systems},
	booktitle = {Proceedings - Winter Simulation Conference},
	year = {2012},
	note = {cited By 3},
	abstract = {Performance models offer a convenient tool to assess design alternatives and predict the execution time of distributed simulation (DS) systems at design time, before system implementation. Currently, performance models are to be manually developed and the related extra effort often becomes the limiting factor for their cost- and time-effective use. In this paper, we aim to reduce this extra effort with the introduction of a model-driven method for the automated building of performance models whose evaluation provides a prediction about of the execution time of a distributed simulation system. As such, the method contributes to bring software performance engineering techniques into the distributed simulation system lifecycle. In particular, we show how the SysML-based specification of the system to be simulated and the design documents of the DS system can be used to derive the topology and the parameters of a performance model specified according to the Extended Queueing Network formalism. {\textcopyright} 2012 IEEE.},
	keywords = {Automated buildings, Computer simulation, Design, Design alternatives, Design documents, Design time, Distributed computer systems, Distributed simulation systems, Distributed simulations, Execution time, Forecasting, Model-driven, Model-driven method, Performance Model, Performance prediction, Software performance engineerings, System implementation, Topology},
	isbn = {9781467347792},
	issn = {08917736},
	doi = {10.1109/WSC.2012.6465255},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84874698997\&partnerID=40\&md5=a02b093d52a8995b3774ab0d2df86fb2},
	author = {Gianni, D. and Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio}
}
