Using Automatic Clustering to Produce High-Level System Organizations of Source Code
IWPC '98 Proceedings of the 6th International Workshop on Program Comprehension
Service-oriented design and development methodology
International Journal of Web Engineering and Technology
To Establish Enterprise Service Model from Enterprise Business Model
SCC '08 Proceedings of the 2008 IEEE International Conference on Services Computing - Volume 1
Evaluating Service Identification with Design Metrics on Business Process Decomposition
SCC '09 Proceedings of the 2009 IEEE International Conference on Services Computing
Formal Identification of Right-Grained Services for Service-Oriented Modeling
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
Software Module Clustering as a Multi-Objective Search Problem
IEEE Transactions on Software Engineering
A Genetic Algorithm Based Approach to Service Identification
SERVICES '11 Proceedings of the 2011 IEEE World Congress on Services
Cooperative clustering for software modularization
Journal of Systems and Software
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Various approaches uses business process models as starting point to derive software services. The first and the important task for developing service-oriented models is service identification. However, the majority of existing methods for service identification are developed manually because, on the one hand, they are based on the competence of the developers and, on the other hand, the business process models do not comprise sufficient knowledge to identify services automatically. The integration of Business Process Modeling BPM, Model-Driven Development MDD, and Ontology-based Semantic Annotation OSA allows the automation of the SOA Service-Oriented Architecture services development. Three steps are used for developing an SOA solution: service identification, service specification and finally service realization. In this paper, the authors illustrate a method called MOOSI Multi-Objective Optimization-based Service Identification that automatically identifies the architecturally significant elements from an annotated business process model in order to specify service model artifacts. The main goal of this work is to support the automation of the development process of service-oriented enterprise information system. The implementation results of our proposed method are discussed. This result shows that MOOSI can achieve high performance in terms of execution time and important quality in terms of modularization quality of identified services compared with other solution.