Quantitative models of cohesion and coupling in software
Selected papers of the sixth annual Oregon workshop on Software metrics
Software reuse: metrics and models
ACM Computing Surveys (CSUR)
A new reusability metric for object-oriented software
Software Quality Control
Service-Oriented Architecture: Concepts, Technology, and Design
Service-Oriented Architecture: Concepts, Technology, and Design
Business Process Execution Language for Web Services BPEL and BPEL4WS 2nd Edition
Business Process Execution Language for Web Services BPEL and BPEL4WS 2nd Edition
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
Synthesizing service composition models on the basis of temporal business rules
Journal of Computer Science and Technology
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Reusability is one of the most prominent service principles that can reduce cost of solution ownership when design services for reuse. The concept of reuse is supported by and can enable a number of complementary service principles that makes its analysis complicated. However, well-engineered business capabilities could be encapsulates within a well-designed interface to produce more reusable composite services. There are several prescriptive guidelines help to ensure that your service candidates attain a balance of proper logic encapsulation and adherence to the standard description, but there is no quantitative metric to get ensured that a given composite service has and to what extent different versions of a composite service differ in reusability capability. This work is to propose a quantitative metric to measure the reusability of composite services. The approach is based on the analysis of Description and Logic Mismatch Probability of a composite service will be reused within potential solutions. By adopting this metric, service reusability analysis could be conduct quantitatively that leads to realize an optimized service-oriented solution in terms of its reusability.