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

Sujatha Varadi; G Appa Rao

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

Sujatha Varadi * §

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G Appa Rao

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GITAM University

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

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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.

References

11 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Sujatha Varadi, G Rao. 2015. "Quality of Service Centric Web Service Composition: Assessing Composition Impact Scale towards Fault Proneness". Global Journal of Computer Science and Technology, Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C9).

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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

Keywords

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

Classification

GJCST-C Classification H.3.5

Submission ReceivedDecember 14, 2013
Peer Review Double Blind
Handling Editor
Accepted January 4, 2014
Published January 15, 2014

Version of record

v1.2

Issue date

January 21, 2015

Language

English

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Article Matrices

Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

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

View Count (all-time): 496

Total Views (Real + Logic): 2546

Total Downloads (simulated): 193

Publish Date: 2014 01, Wed

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Total Views: 2.5K

Total Downloads: 193

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