BUSINESS LOGIC EVALUATION MODEL USING DEPENDENCY ANALYSIS APPROACH FOR SER-VICE INTEGRATION
M. Thirumaran1, M. Jannani1, P. Dhavachelvan2, N. Balaji3 & M.S. Saleem Basha3 Show affiliations
- Department of CSE, Pondicherry Engineering College, Puducherry, India
- Department of CSE, Pondicherry University, Puducherry, India
- Department of Computer Science, Pondicherry University, Puducherry, India
American Journal of Applied Sciences, Volume 11, Issue 8, pp. 1241–1249 · doi.org/10.3844/ajassp.2014.1241.1249
Abstract
In order to extract and integrate the required business logics from the rapidly expanding business services accurately and efficiently, developers must fathom the entire service and must decide on the proper approach to merge them which is a complex and time-consuming task. So integrating the service logics automatically by scrutinizing the dependency relations existing on business rules, functions and parameters is a challenge in the current scenario which is the motivation of this study. In this study, we address this challenge by proposing a comprehensive framework for dynamic service integration which examines the service logics and integrates them dynamically as interoperability between the service logic is attained. The incorporation of Business Logic Evaluation Model in the presented framework employs a novel approach called dependency analysis which ascertains the dependencies among the service logics through Finite State Ma-chine and integrates from the possible dynamic service integration constructs such as union, composition, substitution and reducibility. The implication of this study is to allow enterprises to share and integrate the service logics even without developer’s intervention at a much better level. The implementation methodology and evaluation metrics for the proposed framework have also been elucidated.
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Thirumaran, M., Jannani, M., Dhavachelvan, P., Balaji, N. & Basha, M. S. (2014). BUSINESS LOGIC EVALUATION MODEL USING DEPENDENCY ANALYSIS APPROACH FOR SER-VICE INTEGRATION. American Journal of Applied Sciences, 11(8), 1241–1249. https://doi.org/10.3844/ajassp.2014.1241.1249
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