@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}
}
@article {D{\textquoteright}Ambrogio200329,
	title = {Steps towards the automatic production of performance models of web applications},
	journal = {Computer Networks},
	volume = {41},
	number = {1},
	year = {2003},
	note = {cited By 14},
	pages = {29-39},
	abstract = {<p>The automatic production of performance models of software products can encourage software designers to include performance validation in their best practices. The incorporation of methods for automatic production can also be of interest of CASE tool vendors to improve the capabilities of their commercial software development environments. This paper deals with a method that introduces a systematic approach towards the automatic production of performance models of web applications (i.e. software applications run on web platforms). The method takes in input two sets of data, the description of the platform architecture (a general view of the system platform and a detailed view of the packet flow in the platform itself) and a set of data that describes the workload imposed on the platform by the application. The produced model is an extended queueing network ready to be used by conventional evaluation tools to derive predictions on the performance of the software applications. An example is given of the method application, in which predictions of the performance of the application are obtained versus various combinations of the processing powers of the interacting hosts. {\textcopyright} 2002 Elsevier Science B.V. All rights reserved.</p>},
	keywords = {Computer aided software engineering, Computer software, Packet networks, Performance, Performance prediction, Queueing networks, World Wide Web},
	issn = {13891286},
	doi = {10.1016/S1389-1286(02)00324-9},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-0037437673\&partnerID=40\&md5=03d6a60f12ce2896f634526eeeb2605e},
	author = {Andrea D{\textquoteright}Ambrogio and Iazeolla, G.}
}
