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

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

Asfa Praveen

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Shamimul Qamar

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α Shri Venkateshwara University

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

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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.

References

13 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

Asfa Praveen. 2013. \u201cAn Empirical Investigation for Understanding & Extraction of Services from Monolithic Legacy Software\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 13 (GJCST Volume 13 Issue C4): .

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GJCST Volume 13 Issue C4
Pg. 15- 23

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

ADT Clusters comprehension soa Web Services

Submission ReceivedDecember 6, 2012
Peer Review Double Blind
Handling Editor
Accepted January 5, 2013
Published January 15, 2013

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v1.2

Issue date

May 2, 2013

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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): 271

Total Views (Real + Logic): 9767

Total Downloads (simulated): 2630

Publish Date: 2013 05, Thu

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Total Views: 9767

Total Downloads: 2630

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