Process Oriented Dependency Modelling for Service Identification

Abstract : Service-Oriented Architecture (SOA) is important for organisations to achieve dynamic business process and build business agility. One of the first step for service oriented applications implementation is to properly identify a set of fine-grained services. A right service granularity is necessary to satisfy lower coupling and higher cohesion principles for reusable software services. To meet this challenge, a lot of efforts have been attached to support service identification. In this paper, by considering the dependency combined with the idea of graph partition, a service identification method is proposed from the business process’s perspective. The illustration example has shown its promising and it is expected that the proposed service identification method can offer researchers further insight into service granularity analysis.
Type de document :
Communication dans un congrès
Kecheng Liu; Stephen R. Gulliver; Weizi Li; Changrui Yu. 15th International Conference on Informatics and Semiotics in Organisations (ICISO), May 2014, Shanghai, China. Springer, IFIP Advances in Information and Communication Technology, AICT-426, pp.166-175, 2014, Service Science and Knowledge Innovation. 〈10.1007/978-3-642-55355-4_17〉
Liste complète des métadonnées

Littérature citée [15 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01350921
Contributeur : Hal Ifip <>
Soumis le : mardi 2 août 2016 - 11:24:58
Dernière modification le : mercredi 3 août 2016 - 01:03:49
Document(s) archivé(s) le : jeudi 3 novembre 2016 - 17:26:38

Fichier

978-3-642-55355-4_17_Chapter.p...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Wenge Rong, Ting Li, Yuanxin Ouyang, Chao Li, Zhang Xiong. Process Oriented Dependency Modelling for Service Identification. Kecheng Liu; Stephen R. Gulliver; Weizi Li; Changrui Yu. 15th International Conference on Informatics and Semiotics in Organisations (ICISO), May 2014, Shanghai, China. Springer, IFIP Advances in Information and Communication Technology, AICT-426, pp.166-175, 2014, Service Science and Knowledge Innovation. 〈10.1007/978-3-642-55355-4_17〉. 〈hal-01350921〉

Partager

Métriques

Consultations de la notice

83

Téléchargements de fichiers

28