Automatic service discovery framework based on business process similarity

作者：Huang Zi Cheng^*; Huai Jin Peng; Liu Xu Dong; Li Xiang; Zhu Jiang Jun

来源：Journal of Software, 2012, 23(3): 489-503.

DOI：10.3724/SP.J.1001.2012.04010

• Automatic service
• Behavioral factors
• Business Process
• Composite services
• Experimental evaluation
• Low degree
• Process similarity
• Service compositions
• Service discovery
• Service recommendation

Service discovery is a critical stage of the development for Internet-scale software produced through service composition. Presently, development efficiency of composite service is confined by a low degree of automation and accuracy of service discovery. This paper propose the AutoDisc (automatic service discovery framework based on business process similarity) schema to improve development efficiency through two aspects. One is to improve the efficiency of discovery by automatic recommendation. The other is to improve the accuracy of service discovery by combining the structural and behavioral factors of services. Through the proposed approach, this paper automatically models the requirements of service discovery and recommends the most appropriate composite services to developers. Finally, the paper illustrates the effectiveness of AutoDisc with a set of experimental evaluations which show that AutoDisc can increase the development efficiency by 75.5% in the evaluating context.

• 出版日期2012