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An Impact-based Analysis of Software Reengineering Risk in Quality Perspective of legacy System

by Er. Anand Rajavat, Dr. Vrinda Tokekar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 33 - Number 9
Year of Publication: 2011
Authors: Er. Anand Rajavat, Dr. Vrinda Tokekar
10.5120/4046-5794

Er. Anand Rajavat, Dr. Vrinda Tokekar . An Impact-based Analysis of Software Reengineering Risk in Quality Perspective of legacy System. International Journal of Computer Applications. 33, 9 ( November 2011), 40-47. DOI=10.5120/4046-5794

@article{ 10.5120/4046-5794,
author = { Er. Anand Rajavat, Dr. Vrinda Tokekar },
title = { An Impact-based Analysis of Software Reengineering Risk in Quality Perspective of legacy System },
journal = { International Journal of Computer Applications },
issue_date = { November 2011 },
volume = { 33 },
number = { 9 },
month = { November },
year = { 2011 },
issn = { 0975-8887 },
pages = { 40-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume33/number9/4046-5794/ },
doi = { 10.5120/4046-5794 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:19:56.798429+05:30
%A Er. Anand Rajavat
%A Dr. Vrinda Tokekar
%T An Impact-based Analysis of Software Reengineering Risk in Quality Perspective of legacy System
%J International Journal of Computer Applications
%@ 0975-8887
%V 33
%N 9
%P 40-47
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Reengineering of operational legacy system is a novel technique for software rejuvenation. Reengineering is used specifically to satisfy and even delight modern customers and market with the value of our software products and services to gain their loyalty and repeat business. However, it incurs some overhead in terms of risk. The basic necessity for the successful implementation of reengineering strategy is to measure the overall impact of different reengineering risk components that arises from system, managerial and technical domain of legacy system. Quantifiable risk measures are necessary for the measurement of reengineering risk to take decision about when the evolution of legacy system through reengineering is successful. We present a quantifiable measurement model to measure comprehensive impact of different reengineering risk arises from quality perspective of legacy system. The model consists of five reengineering risk component, including Maintainability risk, Project complexity risk, Software architecture risk, Training Risk and Security risk component .Proposed measurement model offers better performance in terms of risk measurement to support the decision-making process.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Reengineering Risk Engineering Measurement

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