@conference {D{\textquoteright}Ambrogio200778,
	title = {A model-driven approach to describe and predict the performance of composite services},
	booktitle = {Proceedings of the 6th International Workshop on Software and Performance, WOPS{\textquoteright}07},
	year = {2007},
	note = {cited By 76},
	pages = {78-89},
	abstract = {Distributed applications are rapidly converging towards the adoption of a computing paradigm based on service-oriented architectures (SOA), according to which an application results from the composition of a set of services in execution on networked server hosts. In a SOA 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 when building composite web services that make use of services managed by various service providers. This paper introduces a model-driven approach for integrating performance prediction into service composition processes carried out by use of BPEL (Business Process Execution Language for Web Services). The proposed approach is founded on P-WSDL (Performance-enabled WSDL), a performance-oriented extension of WSDL, the language for describing the information about service capabilities and invocation mechanisms. P-WSDL is a lightweight WSDL extension for the description of performance characteristics of a web service. The approach is illustrated by use of an example application to a composite web service for travel planning. Copyright 2007 ACM.},
	keywords = {Context sensitive grammars, Distributed computer systems, Model checking, Model transformation, Network architecture, Service providers, Service-oriented architectures (SOA), Software performance, User interfaces, Web services},
	isbn = {1595932976; 9781595932976},
	doi = {10.1145/1216993.1217008},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-34748847460\&partnerID=40\&md5=359f771f293455994ff32902ee2772e6},
	author = {Andrea D{\textquoteright}Ambrogio and Bocciarelli, P.}
}
@article {D{\textquoteright}Ambrogio2006121,
	title = {Soon: A tool for software performance validation},
	journal = {International Journal of Modelling and Simulation},
	volume = {26},
	number = {2},
	year = {2006},
	note = {cited By 4},
	pages = {121-128},
	abstract = {The automatic derivation of software performance models from CASE documents is a necessary step towards lifecycle validation of the performance of software products (or prediction of the product ability to satisfy the user performance requirements). This paper illustrates SOON (SOftware performance validatiON), a tool that implements a method for the automatic derivation of a software performance model from UML-based documents. The tool also includes a model evaluation facility. SOON allows software designers to overcome the difficulties often encountered when they lack specific knowledge of performance theory, allowing one to predict at design time the performance of various product alternatives. SOON is designed and implemented by use of standards for document exchange (XMI) and for application interoperability (CORBA), so that it can be easily linked or embedded into UML-based CASE environments.},
	keywords = {CASE documents, Codes (standards), Computer programming languages, Computer simulation, Computer software selection and evaluation, Embedded systems, Interoperability, Lifecycle validation, Performance tools, Software engineering, Software performance, SOftware performance validatiON (SOON)},
	issn = {02286203},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-33745447390\&partnerID=40\&md5=8e384a01572372537f850b69e9e0c6d4},
	author = {Andrea D{\textquoteright}Ambrogio}
}
@conference {D{\textquoteright}Ambrogio2005366,
	title = {Design of XMI-based tools for building EQN models of software systems},
	booktitle = {Proceedings of the IASTED International Conference on Software Engineering: part of the 23rd IASTED International Multi-Conference on Applied Informatics, SE 2005},
	year = {2005},
	note = {cited By 4},
	pages = {366-371},
	abstract = {Research in software development is proving that model building during product development is essential to product validation. Indeed the model can be used in the early stages of the product lifecycle to predict the product compliance with the user performance requirements. This paper deals with software performance model building. Only a few methods and tools have been introduced for performance model automatic building, which would be of great interest to software developers, since existing performance methods and tools require a deep knowledge of performance theory. This paper illustrates the design of a tool for automatically building software performance models. The produced model is a queueing network. The design is based on recently published standards like MOF and XMI, that facilitate the easy interchange of models between different tools (e.g., software development tools, evaluation tools, etc.).},
	keywords = {Automatic buildings, Design, Information science, Java programming language, Model buildings, MOF, Product compliance, Product development, Queueing networks, Software development tools, Software engineering, Software performance, Software performance modeling, Tools, UML, XMI},
	isbn = {0889864640; 9780889864641},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84882959712\&partnerID=40\&md5=5efce578e953ca65d5eff685949b9a32},
	author = {Andrea D{\textquoteright}Ambrogio and Iazeolla, G.}
}
@article {D{\textquoteright}Ambrogio2005127,
	title = {Metadata-driven design of integrated environments for software performance validation},
	journal = {Journal of Systems and Software},
	volume = {76},
	number = {2},
	year = {2005},
	note = {cited By 5},
	pages = {127-146},
	abstract = {Lifecycle validation of the performance of software products (i.e., the prediction of the product ability to satisfy the user performance requirements) encompasses the production of performance models from CASE documents. The model production activity is a critical, time-consuming and error-prone activity so that lifecycle validation is still not widely accepted and applied. The reason is twofold: the lack of methods for the automatic derivation of software performance models from CASE documents and the lack of environments that implement and integrate such methods. A number of methods for the automatic derivation of software performance models from CASE documents has been already proposed in literature, without however solving the automation problem. This paper instead faces up to such problem, by introducing an integrated and standards-based environment for the automatic derivation and evaluation of queueing-based performance models. The environment is based on the use of standards for metadata exchange (MOF, XMI), to ease the integration of the most common UML-based CASE tools, thus enabling software designers to smoothly introduce performance validation activities into their best development practices. {\textcopyright} 2004 Elsevier Inc. All rights reserved.},
	keywords = {Codes (standards), Computer aided software engineering, Computer simulation, Lifecycle validation, Metadata, Metamodeling, Performance, Quality control, Software environments, Software performance, XML},
	issn = {01641212},
	doi = {10.1016/j.jss.2004.04.014},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-11144271040\&partnerID=40\&md5=36f844fc57fc3cf9ba5a51344b5472d2},
	author = {Andrea D{\textquoteright}Ambrogio and Iazeolla, G.}
}
@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}
}
