C. Punitha Devi
Pondicherry University
10 Papers
9 Citations
C. Punitha Devi is an academic researcher from Pondicherry University. The author has contributed to research in topics: Service (business) & Service-oriented architecture. The author has an hindex of 3, co-authored 10 publications.
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Papers
Research opportunities in service reusability of service oriented architecture
G. Shanmugasundaram,V. Prasanna Venkatesan,C. Punitha Devi +2 more
- 01 Dec 2012
TL;DR: The objective of this paper is to explore the research opportunities in Service reusability of SOA systems and a methodology is proposed which is to be adopted to address the research problem.
6
Modeling Measures for Service Interpretation in Discoverability of Service Oriented Architecture
TL;DR: This paper focuses on formulating metrics for interpretation of services based on functional and non-functional aspects of a service and proposed measure for service interpretability shows the effectiveness and improvement of service discovery which leads to better service composition and execution.
5
Strength Estimation of Relation between Metrics in Evolution based Model
TL;DR: The maturity level of reuse metrics stated through the evolution based model is established by bringing out the strength of the relationship that is estimated through the study by relating the metrics quantitatively.
Information Integration Redefined
C. Punitha Devi,V. Prasanna Venkatesan,G. Shanmugasundaram +2 more
- 01 Jan 2012
TL;DR: This paper gives the survey on various definitions stated for information integration which has been classified and discussed over the completeness of them analyzing on the three aspects input, output and process and presents a comprehensive characterization of information integration.
2
A Process Flow Based Design Model Using Aspect Based Reusability
G. Shanmugasundaram,V. Prasanna Venkatesan,C. Punitha Devi +2 more
- 31 Aug 2012
TL;DR: Banking Loan System has been chosen as a case study to demonstrate the working of the proposed process flow based design model and the quantified results show the achievement of reusability and reduction of effort on development.