Informatics Publishing Limited

M. Ambika ¹, Alwarammal ¹, D. Chinnadurai ¹

Affiliations
1 Kalasalingam University, Anand Nagar, Krishnankoil, Tamilnadu, IN

Abstract

This study aims to present a bibliometric analysis of the Annals of Library and Information Studies Journal. The paper analyzes a bibliometric study of 283 Articles (545 Authors) were published from 2002 to 2011 in the Annals of Library and information studies journal. The paper covers the bibliometric analyses of year-wise distribution of articles (from 2002 to 2011), subject-wise distribution of articles, authorship patterns, and institutions-wise distribution of contributions, state wise (geographical) (22 Indian States and 10 Foreign Countries) distribution of articles and prolific authors from 2002 to 2011 have been analyzed.

Keywords

Bibliometics, Journal of Annals of Library and Information Studies, Authorship Pattern, Geographical Distribution, Prolific Authors

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R. Chinnaiyan ¹, M. Ambika ², S. Somasundaram ³

Affiliations
1 Department of Computer Applications, A.V.C. College of Engineering, IN
2 Department of Computer Science & Engineering, PRIST University, IN
3 Department of Mathematics, Coimbatore Institute of Technology, IN

Abstract

Software reliability has become one of the main issues for software developers. Aggregating software components into software is a perfect approach to construct software with the maturity of component market. How to analyze software reliability from the reliabilities of its software components and architecture should be answered. However, software in most of the proposed reliability analysis methods is static, while software development is a dynamic process, especially for component-based software, where pervasive process is iterative and incremental. Based on functional abstractions, this paper presents a general model for estimating the reliability of Component Based Software Systems using Role’s of Software Components with Test Suite.

Keywords

Software Reliability, Components, Component Based Software, Test Suite.

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R. Rathika ¹, M. Ambika ²

Affiliations
1 PRIST University, Vallam, Thanjavur, IN
2 P.R. Engineering College, Vallam, Thanjavur, IN

Abstract

Customer Relationship Management, is an area where cloud computing can really shine. Applications for CRM can help a business organize and track its contacts with customers. Thus knowledge discovery and management plays vital role in these area. In this article we propose a new approach for automatic learning of terminological ontologies from text corpus based on probabilistic topic models .In our approach topic models are used as efficient dimension reduction techniques, which are able to capture semantic relationships between word-topic and topic-document interpreted in terms of probability distributions. This article proposed a method to create and handle ontology object model. The work has also involve testing the performance of the proposed algorithm. Thus compared to manual approaches, the automated building of ontology has the advantages of fast development, cost effectiveness, and being resistant to obsolescence.

Keywords

Cloud Computing, Web Ontology, Ontology Generation, Probabilistic Topic Models, CRM.

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