Today the biggest shift in mainstream programming and architectural modeling toward service-oriented architectures requires us to discover, document, and share new design patterns. This paper presents a framework, called SCA-PatternBox, to define and apply SOA design patterns. The framework relies on the OASIS standard Service Component Architecture (SCA) for service-oriented architecture modeling, and on SCA component implementation types, such as SCA-Java, for providing an implementation-oriented approach to design pattern definition and application. Moreover, in order to provide formally verified design patterns, a specification-oriented approach is also supported by using the formal method Abstract State Machines and associated analysis tools for describing and validating the functional behavior of design patterns and SCA components.

(2014). A practical and automated approach for engineering service-oriented applications with design patterns [conference presentation - intervento a convegno]. Retrieved from http://hdl.handle.net/10446/31355

A practical and automated approach for engineering service-oriented applications with design patterns

SCANDURRA, Patrizia;CAPELLI, Steven
2014-01-01

Abstract

Today the biggest shift in mainstream programming and architectural modeling toward service-oriented architectures requires us to discover, document, and share new design patterns. This paper presents a framework, called SCA-PatternBox, to define and apply SOA design patterns. The framework relies on the OASIS standard Service Component Architecture (SCA) for service-oriented architecture modeling, and on SCA component implementation types, such as SCA-Java, for providing an implementation-oriented approach to design pattern definition and application. Moreover, in order to provide formally verified design patterns, a specification-oriented approach is also supported by using the formal method Abstract State Machines and associated analysis tools for describing and validating the functional behavior of design patterns and SCA components.
2014
Scandurra, Patrizia; Capelli, Steven
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/31355
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