An Empirical Investigation for Understanding & Extraction of Services from Monolithic Legacy Software

An Empirical Investigation for Understanding & Extraction of Services from Monolithic Legacy Software

Article ID

CSTSDEBDPXJ

An Empirical Investigation for Understanding & Extraction of Services from Monolithic Legacy Software

Asfa Praveen Shri Venkateshwara University, Gajraula, (U.P.), India.

Shamimul Qamar

DOI

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Abstract

While working on modernization of large monolithic application; speed , synchronization and interaction with other components are the major concern for practical implementation of target system; as Service-Oriented Computing extends and covering many sections of monolithic legacy to web oriented development, these aspects becoming a new challenges to existing software engineering practices, the paper presents work which is undertaken for service orientation of monolithic legacy application including initial steps of service understanding, comprehension and extraction so that it can take a part in further migration activities to service oriented architecture platform. The work also shows that how several useful techniques can be applied to accomplish the result.

An Empirical Investigation for Understanding & Extraction of Services from Monolithic Legacy Software

Authors

Asfa Praveen Shri Venkateshwara University, Gajraula, (U.P.), India.

Shamimul Qamar

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References

How to Cite

Asfa Praveen. 2013. “. Global Journal of Computer Science and Technology – C: Software & Data Engineering GJCST-C Volume 13 (GJCST Volume 13 Issue C4): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

GJCST Volume 13 Issue C4
Pg. 15- 23

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Submission Received December 6, 2012
Accepted January 5, 2013
Published January 15, 2013

Keywords

ADT Clusters comprehension soa Web Services

Article Matrices

Total Score: 102

Country: India

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

Authors: Asfa Praveen, Shamimul Qamar (PhD/Dr. count: 0)

View Count (all-time): 233

Total Views (Real + Logic): 9654

Total Downloads (simulated): 2623

Publish Date: 2013 05, Thu

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Total Views: 9654

Total Downloads: 2623

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