Quality of Service Centric Web Service Composition: Assessing Composition Impact Scale towards Fault Proneness

Quality of Service Centric Web Service Composition: Assessing Composition Impact Scale towards Fault Proneness

Article ID

CSTSDE4899L

Quality of Service Centric Web Service Composition: Assessing Composition Impact Scale towards Fault Proneness

Sujatha Varadi GITAM University

G Appa Rao

DOI

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Abstract

Service composition in service oriented architecture is an important activity. In regard to achieve the quality of service and secured activities from the web service compositions, they need to be verified about their impact towards fault proneness before deploying that service composition. Henceforth, here in this paper, we devised a novel statistical approach to assess the service composition impact scale towards fault proneness. The devised model explores the higher and lower ranges of the service composition impact scale, which is from the knowledge of earlier compositions that are notified as fault prone.

Quality of Service Centric Web Service Composition: Assessing Composition Impact Scale towards Fault Proneness

Authors

Sujatha Varadi GITAM University

G Appa Rao

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How to Cite

Sujatha Varadi. 2015. “. Global Journal of Computer Science and Technology – C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C9): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

GJCST Volume 14 Issue C9
Pg. 13- 17

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Submission Received December 14, 2013
Accepted January 4, 2014
Published January 15, 2014

Keywords

composition support service composition impact scale service descriptor impact scale web service composition fault pronen web service compositions

Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Sujatha Varadi, G Appa Rao (PhD/Dr. count: 0)

View Count (all-time): 193

Total Views (Real + Logic): 8390

Total Downloads (simulated): 2093

Publish Date: 2015 01, Wed

Monthly Totals (Real + Logic):

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Total Views: 8390

Total Downloads: 2093

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