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Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

T. Holmes, H. Tran, U. Zdun, S. Dustdar:
"Model-driven and Domain-specific Architectural Knowledge View for Compliance Meta-data in Process-driven SOAs";
Vortrag: 5th International Workshop on Sharing and Reusing Architectural Knowledge (SHARK 2010) in conjunction with ICSE 2010, Cape Town, South Africa; 02.05.2010 - 08.05.2010; in: "Proceedings of the 5th International Workshop on Sharing and Reusing Architectural Knowledge (SHARK 2010) in conjunction with ICSE 2010", ACM, (2010), ISBN: 978-1-60558-967-1; S. 64 - 71.



Kurzfassung englisch:
Architectural knowledge tends to get lost as the architecture
evolves. In many cases, the main reason is that there are no
incentives for stakeholders to invest enough time into recording the
architectural knowledge. This is in part due to the generic nature
of architectural knowledge recording and sharing means, such as
architectural decision templates and meta-models. In this paper,
we investigate on the feasibility of a domain-specific architectural
knowledge view in the context of a model-driven project. The
domain-specific approach helps us to make architectural knowledge
(AK) recording more useful for a project apart from the
goal of AK sharing and reuse. Model-driven development helps
us to ensure the consistency of the architectural knowledge as it
is part of the generation process. Finally, depicting architectural
knowledge as a architectural view supports separation of concerns
with regard to the various models in the system. We demonstrate
our approach for a compliance meta-data view for process-driven
SOA systems that records compliance requirements and rationales
of an architecture.

Schlagworte:
Architectural Knowledge, Compliance, MDD


Elektronische Version der Publikation:
http://publik.tuwien.ac.at/files/PubDat_185711.pdf



Zugeordnete Projekte:
Projektleitung Schahram Dustdar:
Compliance-driven Models, Languages, and Architectures for Services


Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.