@conference {Bocciarelli20081,
	title = {A measurement framework for the parameterization of performance models of soa-based systems},
	booktitle = {Proceedings of the IASTED International Conference on Software Engineering, SE 2008},
	year = {2008},
	note = {cited By 1},
	pages = {1-6},
	abstract = {Distributed applications are rapidly converging towards the adoption of a computing paradigm based on service-oriented architectures, according to which an application can be seen as a composite web service that is built by assembling a set of existing services, executed on internetworked server hosts. In such a context, service providers are strategically interested both to describe the performance characteristics of offered services, to better qualify their offer and gain a significant advantage in the global marketplace; and to predict the level of performance that can be offered to service consumers. To this purpose, the paper introduces a framework for the management of performance parameters, defining the architecture that enables service providers to measure and make available performance information about the offered services. On the other hand the proposed approach allows the service consumers to automatically retrieve the performance data and then use such data to apply model-driven approaches for the performance analysis of composite web services.},
	keywords = {Composite web services, Computing paradigms, Distributed applications, Global marketplaces, Information services, Internetworked, LQN, Model-driven approaches, Parameters, Performance, Performance analysis, Performance characteristics, Performance datum, Performance models, Performance parameters, Service oriented architecture (SOA), Service providers, Service-oriented architectures, SOA, Soa-based systems, Software engineering, Spontaneous emission, Web services},
	isbn = {9780889867154},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-62849121929\&partnerID=40\&md5=86f31e7a2aba49f609769114bee66712},
	author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio}
}
@conference {Ambrogio200820,
	title = {A Model-Driven approach for the performance management of grid-based applications},
	booktitle = {Proceedings of the IASTED International Conference on Software Engineering, SE 2008},
	year = {2008},
	note = {cited By 0},
	pages = {20-25},
	abstract = {Grid environments and software applications based on Grid Services are currently receiving a strong consideration. In a Grid context, service providers are strategically interested to manage the level of performance that can be oered to service consumers. This paper introduces a model-driven approach for predicting, at design time, and managing, at execution time, the performance characteristics of applications based on Grid Services. The approach is based on the automatic generation and evaluation of performance models from design models of UML type. An example application is illustrated to show the eectiveness of the proposed approach.},
	keywords = {Applications, Automatic generations, Design models, Design time, Execution time, Grid, Grid computing, Grid contexts, Grid environments, Grid services, Grid-based applications, LQN, Model-driven approaches, Performance analysis, Performance characteristics, Performance managements, Performance models, Service providers, Service-oriented, Software applications, Software engineering, Spontaneous emission, Systems analysis},
	isbn = {9780889867154},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-62849087032\&partnerID=40\&md5=497dc66a800e3d14123b851fc9cec6d7},
	author = {Andrea D{\textquoteright}Ambrogio and Conticelli, L.}
}
@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}
}
@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.}
}
