Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

Pattern-based business-driven analysis and design of service architectures

Gacitua-Decar, Veronica and Pahl, Claus orcid logoORCID: 0000-0002-9049-212X (2008) Pattern-based business-driven analysis and design of service architectures. In: The 3rd International Conference on Software and Data Technologies ICSOFT’2008., 2008, Porto, Portugal.

Abstract
Service architectures are an increasingly adopted architectural approach for solving the Enterprise Application Integration (EAI) problem originated by business process automation requirements. In previous work, we developed a methodological framework for the designing of service architectures for EAI. The framework is structured in a layered architecture called LABAS, and is distinguished by using architectural abstractions in different layers. This paper describes the pattern-based techniques used in LABAS for service identification, for transformation from business models to service architectures and for architecture modifications.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Service-oriented architecture; Enterprise application integration; Business patterns; SOA patterns; Architectural analysis; Architectural design; Architecture change
Subjects:Computer Science > Software engineering
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Copyright Information:© 2008 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:15958
Deposited On:01 Jun 2011 10:52 by Shane Harper . Last Modified 04 Feb 2021 13:41
Documents

Full text available as:

[thumbnail of Pattern-Based_Business-Driven_Analysis_and_Design_of_Service_Architectures.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
1MB
Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record