@article {D{\textquoteright}Ambrogio2009625,
	title = {Simulation model building of traffic intersections},
	journal = {Simulation Modelling Practice and Theory},
	volume = {17},
	number = {4},
	year = {2009},
	note = {cited By 9},
	pages = {625-640},
	abstract = {Designers of traffic systems might take advantage of the simulation-before-construction approach that allows them to study the behavior of a new or existing system by use of simulation models. Nevertheless, the use of simulation models is often hindered by the fact that the model building activity is a critical, time consuming and error prone activity if performed by use of experience and intuition only. Moreover, traffic designers do not usually have the necessary skills to effectively carry out system simulation. This paper overcomes such problems by introducing a model building method, thus enabling traffic designers to seamlessly introduce simulation-before-construction into their best practices. The method is applied to the building of simulation models of traffic intersections, with an example application to a real-world intersection. {\textcopyright} 2008 Elsevier B.V. All rights reserved.},
	keywords = {Automated model building, Best practices, Error-prone, Existing systems, Intersections, Model buildings, Model-building methods, Real-world, Simulation model production, Specifications, System simulations, Traffic control, Traffic intersection specification, Traffic simulation, Traffic systems},
	issn = {1569190X},
	doi = {10.1016/j.simpat.2008.11.001},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-62149138054\&partnerID=40\&md5=e6b0fba289eb046089cab4e9984ab819},
	author = {Andrea D{\textquoteright}Ambrogio and Iazeolla, G. and Pasini, L. and Pieroni, A.}
}
@conference {D{\textquoteright}Ambrogio200575,
	title = {A model transformation framework for the automated building of performance models from UML models},
	booktitle = {Proceedings of the Fifth International Workshop on Software and Performance, WOSP{\textquoteright}05},
	year = {2005},
	note = {cited By 48},
	pages = {75-86},
	abstract = {In order to effectively validate the performance of software systems throughout their development cycle it is necessary to continuously build performance models from software models and then use the obtained models to check whether the system is being developed according to its performance requirements. The model building activity is a critical and effort-consuming activity. Several approaches have been envisaged to endow software designers with tools that automatically build ready-to-evaluate performance models from software development models. One essential requirement of such tools, often disregarded by current approaches, is a high degree of interoperability with software development tools, which has the positive effect of reducing both the level of required expertise in performance theory and the burden of learning separate tools. This paper introduces a frame-work for transforming source software models into target performance models. The transformation requires a clear understanding of the abstract syntax and semantics of both the source and target models, which is obtained by use of metamodeling techniques for defining the abstract syntax of models, the interrelationships between model elements and the model transformation rules. In the paper case, the framework is applied to the transformation of source models of UML type into target models of LQN (layered queueing network) type. The proposed approach is founded on the precepts recently introduced by model-driven development (MDA) and makes use of the set of related standards (MOF, QVT, XMI). This allows to obtain a high degree of automation, so that interoperable model transformation tools can be implemented in a timely and efficient way, leading to improvements in terms of software designers{\textquoteright} productivity and system quality. Copyright 2005 ACM.},
	keywords = {Automated model building, Computer programming languages, Computer simulation, Computer software, Interoperability, Layered queueing network (LQN), Mathematical models, Mathematical transformations, Performance models, Queueing networks, Semantics, Software engineering, Software models, Software performance},
	isbn = {1595930876; 9781595930873},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-33748990901\&partnerID=40\&md5=3d70f2f5116fbd9bc73c5adb8790835c},
	author = {Andrea D{\textquoteright}Ambrogio}
}
