@conference {Bocciarelli201249,
	title = {A model-driven approach to build HLA-based distributed simulations from SysML models},
	booktitle = {SIMULTECH 2012 - Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications},
	year = {2012},
	note = {cited By 6},
	pages = {49-60},
	abstract = {The analysis and design of complex systems, which very often are composed of several sub-systems, takes advantages by the use of distributed simulation techniques. Unfortunately, the development of distributed simulation systems requires a significant expertise and a considerable effort for the inherent complexity of available standards, such as HLA. This paper introduces a model-driven approach to support the automated generation of HLA-based distributed simulations starting from system descriptions specified by use of SysML (Systems Modeling Language), the UML-based general purpose modeling language for systems engineering. The proposed approach is founded on the use of model transformation techniques and relies on standards introduced by the Model Driven Architecture (MDA). The method exploits several UML models that embody the details required to support two transformations that automatically map the source SysML model into a HLA-specific model and then use the latter to generate the Java/HLA source code. To this purpose, this paper also introduces two UML profiles, used to annotate UML diagrams in order both to represent HLA-based details and to support the automated generation of the HLA-based simulation code.},
	keywords = {Computer simulation, HLA, Model-driven, QVT, Simulation, Software architecture, SysML, Unified Modeling Language},
	isbn = {9789898565204},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867729868\&partnerID=40\&md5=fafd37b90daa458cc5075061c63c5357},
	author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio and Fabiani, G.}
}
@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 {Bocciarelli201190,
	title = {A JXTA-based peer architecture for enhanced service discovery in SOA-based P2P applications},
	journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {6569 LNCS},
	year = {2011},
	note = {cited By 0},
	pages = {90-100},
	abstract = {The adoption of a P2P paradigm for implementing software applications based on service oriented architectures (SOA) is gaining momentum as a valid alternative to the classic client-server paradigm. In this context, service providers are strategically interested to describe and manage the quality of service (QoS) characteristics of offered services. The ability to carry out QoS-oriented service discovery activities is an essential issue for effectively managing the QoS of SOA-based P2P applications and as consequence to guarantee an good quality level among collaborating services. To this purpose, this paper introduces a JXTA-based peer architecture for enhanced service discovery in SOA-based P2P applications. The proposed approach builds upon a model-driven framework for predicting, at composition time, and managing, at execution time, the QoS of SOA-based P2P applications. {\textcopyright} 2011 Springer-Verlag.},
	keywords = {Client server, Composition time, Execution time, Gaining momentum, Information services, Model-driven, P2P applications, Quality levels, Quality of service, Service discovery, Service oriented architecture (SOA), Service provider, Software applications},
	isbn = {9783642227592},
	issn = {03029743},
	doi = {10.1007/978-3-642-22760-8_10},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80054818335\&partnerID=40\&md5=7588973cdd0fb59a54c6d2a6fd1cda33},
	author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio and Angelaccio, M.}
}
@article {Bocciarelli2008228,
	title = {Model-driven performability analysis of composite web services},
	journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {5119 LNCS},
	year = {2008},
	note = {cited By 14},
	pages = {228-246},
	abstract = {Web services are the building blocks of the emerging computing paradigm based on service-oriented architectures (SOAs). A web service is a self-describing, open component that supports rapid composition of distributed applications. In a SOA context, service providers are strategically interested both to predict and describe the QoS of the offered services. This paper introduces a model-driven approach to automatically predict and describe the QoS of composite web services specified by use of the Business Process Execution Language for Web Services. The paper is founded on a lightweight QoS-oriented extension of the WSDL and specifically addresses the QoS in terms of the performability attribute, which defines a combined measure of performance and reliability. The proposed approach is illustrated by use of an example application that shows how the performability analysis may lead to predictions that do not correspond to those obtained by approaches that only consider the performance attribute. {\textcopyright} 2008 Springer-Verlag Berlin Heidelberg.},
	keywords = {Building blockes, Business process execution language for web services, Combined measure, Composite web services, Distributed applications, Emerging computing paradigm, Information services, Model driven approach, Model-driven, Model-driven development, Perform-ability, Performance, Performance attributes, Quality of service, Reliability, Service oriented architecture (SOA), Service provider, Systems analysis, Web services},
	isbn = {3540698132; 9783540698135},
	issn = {03029743},
	doi = {10.1007/978-3-540-69814-2-15},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-70349880842\&partnerID=40\&md5=2b62ddfcd5d7d53a52f20982c298e063},
	author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio}
}
