@conference {Bocciarelli2013218,
	title = {4SEE: A model-driven simulation engineering framework for business process analysis in a SaaS paradigm},
	booktitle = {Simulation Series},
	volume = {45},
	number = {4},
	year = {2013},
	note = {cited By 1},
	pages = {218-225},
	abstract = {The intrinsic geographical distribution and the increasing complexity are two significant properties of modern business processes (BPs) that have not been fully addressed by existing simulation tools for BP analysis. Quantitative analysis of BPs is essential both at design time, to predict the BP quality of service (QoS), and at execution time, to dynamically reconfigure the BP and guarantee the pre-agreed QoS. In this respect, this work proposes a model-driven QoS-aware framework for simulation-based quantitative analysis of BPs. Specifically, the framework adopts a distributed simulation approach that replicates the service-oriented infrastructure of a BP into the corresponding simulation infrastructure based on the HLA-Evolved standard. The proposed framework assumes a scenario in which service providers publish a set of simulation-oriented services that can be subsequently used by interested consumers to dynamically discover and evaluate the QoS of the offered services. Key to the economical feasibility of this scenario is that a model-driven approach is used to automate the derivation of the simulation software from the BPMN (Business Process Model \& Notation) models of the actual BPs. The paper presents both the proposed model-driven framework, named 4SEE, and an example application to a BP for an e-commerce scenario.},
	keywords = {Business process analysis, Business process model, Computer simulation, Computer software, Distributed simulations, Economical feasibility, Model driven approach, Quality of service, Service-oriented infrastructures, Simulation engineering, Simulation software},
	isbn = {9781627480321},
	issn = {07359276},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876848381\&partnerID=40\&md5=735bc33d9335c85e8f26a7d6dfe860c8},
	author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio and Gianni, D.}
}
@conference {Angelaccio2009137,
	title = {A model-driven approach for designing adaptive WEB GIS interfaces},
	booktitle = {Lecture Notes in Geoinformation and Cartography},
	year = {2009},
	note = {cited By 7},
	pages = {137-148},
	abstract = {Adaptive WEB GIS systems are emerging as a promising technology for managing highly dynamic situations such as in emergencies. Such situations require quick response and combination of static and dynamic data. Context information is crucial for understanding the possible roles within the rescue teams and the possibility for their collaboration. Emergency conditions require adjustments of performance and behavior according to the information and activation of the components and according to the needs of the users. In this paper, we propose a context-aware meta model for a WEB GIS interface. This model is based on the unified modeling language (UML) and the model driven architecture (MDA) paradigm. The proposed framework is described in terms of an emerging web engineering paradigm by specializing a meta model transformation that adapts WEB GIS interfaces to the context information. A study case is taken from a flood emergency scenario. A discussion of the corresponding technological framework, together with a description of a test case, is given in order to show the feasibility of the proposed concept. {\textcopyright} Springer-Verlag Berlin Heidelberg 2009.},
	keywords = {Context information, Emergency conditions, Emergency scenario, Geographic information systems, Information fusion, Meta-model transformations, Model driven approach, Model driven architectures, Semantics, Software architecture, Technological framework, Unified Modeling Language, Web engineering, Websites},
	isbn = {9783642003035},
	issn = {18632351},
	doi = {10.1007/978-3-642-00304-2-9},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-78649514444\&partnerID=40\&md5=cf18f4e4d3529f57ceb725b865e8246c},
	author = {Angelaccio, M. and Krek, A. and Andrea D{\textquoteright}Ambrogio}
}
@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}
}
@article {D{\textquoteright}Ambrogio2004584,
	title = {Model-driven maintenance of QoS characteristics in heterogeneous networks},
	journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {3280},
	year = {2004},
	note = {cited By 0},
	pages = {584-593},
	publisher = {Springer Verlag},
	abstract = {System QoS maintenance is the activity intended to maintain the system QoS at acceptable levels. The activity consists of continuously measuring the system QoS characteristics and adjusting the system parameters that affect them. This paper introduces a model-driven approach to the maintenance of QoS characteristics in heterogeneous networks that support geographically distributed processing services. The model is used as an on-line tool that enables network managers to rapidly adjust the network parameters to maintain the network QoS characteristics at required levels. The on-line use of the model requires short model evaluation times, which are obtained by use of a multi-level hierarchical hybrid technique. The application to the maintenance of timerelated and capacity-related network QoS characteristics is illustrated. {\textcopyright} Springer-Verlag 2004.},
	keywords = {Distributed processing, Heterogeneous networks, Hybrid techniques, Maintenance, Model driven approach, Model evaluation, Model-driven, Network managers, Network parameters, On-line tools},
	issn = {03029743},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-35048850389\&partnerID=40\&md5=21de7002295472f48770051c819654c3},
	author = {Andrea D{\textquoteright}Ambrogio and De Person{\'e}, V.N. and Iazeolla, G.}
}
