@conference {Gianni2008171,
	title = {Producing simulation sequences by use of a java-based generalized framework},
	booktitle = {Proceedings - EMS 2008, European Modelling Symposium, 2nd UKSim European Symposium on Computer Modelling and Simulation},
	year = {2008},
	note = {cited By 6},
	pages = {171-176},
	abstract = {The quality and representativeness of simulation results heavily depend on the sequence of numbers used in the experiments. When dealing with simulations of critical systems, it might be necessary to increase the representativeness of such results by running experiments with different sequences and to investigate the system behaviour in specific situations. In large models, however, managing sequence of numbers could become cumbersome and could attract the attention of simulation system developers on the input settings instead of model logic. In this paper, we present a component-based framework for sequence of numbers that offers a high degree of flexibility and raises the simulation system developers from the details of the input sequences while implementing the model logic. The sequences can be thus configured in a following phase and deployed in the simulation systems with almost no effort. {\textcopyright} 2008 IEEE.},
	keywords = {Computer systems, Critical systems, Degree of flexibilities, Input sequences, Input settings, Magnetic properties, Magnetic susceptibility, Model logics, Simulation results, Simulation systems, System behaviours},
	isbn = {9780769533254},
	doi = {10.1109/EMS.2008.52},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-55849093564\&partnerID=40\&md5=e238b9497ca873aa74ae141c715dae45},
	author = {Gianni, D. and Andrea D{\textquoteright}Ambrogio and Iazeolla, G. and Pieroni, A.}
}
@conference {D{\textquoteright}Ambrogio200544,
	title = {Performance model building of pervasive computing},
	booktitle = {Proceedings - 2005 Workshop on Techniques, Methodologies and Tools for Performance Evaluation of Complex Systems, FIRB-Perf 2005},
	volume = {2005},
	year = {2005},
	note = {cited By 3},
	pages = {44-53},
	abstract = {Performance model building is essential to predict the ability of an application to satisfy given levels of performance or to support the search for viable alternatives. Using automated methods of model building is becoming of increasing interest to software developers who have neither the skills nor the time to do it manually. This is particularly relevant in pervasive computing, where the large number of software and hardware components requires models of so large a size that using traditional manual methods of model building would be error prone and time consuming. This paper deals with an automated method to build performance models of pervasive computing applications, which require the integration of multiple technologies, including software layers, hardware platforms and wired/wireless networks. The considered performance models are of extended queueing network (EQN) type. The method is based on a procedure that receives as input the UML model of the application to yield as output the complete EQN model, which can then be evaluated by use of any evaluation tool. {\textcopyright} 2005 IEEE.},
	keywords = {Automation, Computer software, Distributed computer systems, Extended queuing network (EQN), Manual control, Mathematical models, Performance models, Pervasive computing, Query languages, Software engineering, Wireless networks},
	isbn = {0769524478; 9780769524474},
	doi = {10.1109/FIRB-PERF.2005.15},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-33846989003\&partnerID=40\&md5=3ba663ef9a7a1338b9485fda4973b320},
	author = {Andrea D{\textquoteright}Ambrogio and Iazeolla, G.}
}
