International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064




Downloads: 111 | Views: 204

Research Paper | Computer Science & Engineering | India | Volume 4 Issue 11, November 2015 | Rating: 6.3 / 10


An Adopted Business Model Driven Framework Based Analysis Over SOA

A. Prudhviraj | Dasari Rajesh [6]


Abstract: Several factors may force enterprises to modify their business processes they are threatened by competition, they need to develop new process solutions to fulfill customer needs, they have to react to organizational change, and more. In order to efficiently change business processes, reference models as sources of to-be business processes that are to bring about economic improvements can be used. While in the past the application of reference process models would merely provide a new process model without addressing the necessary efforts of changing the technical solutions beneath it, the concept of service-oriented architecture (SOA) may significantly reduce these efforts by aligning services to business activities. The presumed ease of readily deployable business processes will then strongly promote the increased use of reference process models in business process optimization. In our approach, we apply the process mining technology to the event logs to discover the scenarios, each of which mainly consists of task originators, sub-process (ordering of service invocations) and business objects. Based on composition of these scenarios, the enterprise is able to redesign the process models and combine closely the business process with the services provided by different application systems in SOA. When new business requirements emerge, solution designers can devise a flexibly composite process that makes the best use of existing scenarios and glue the scenarios together with least augmentation or modification.


Keywords: SOA, business process model, process mining, scenario discovery


Edition: Volume 4 Issue 11, November 2015,


Pages: 1690 - 1694



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