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Modularizing legacy system through an improved Bunch clustering method in cloud migration

Zhao, J, Zhou, J and Yang, H (2015) 'Modularizing legacy system through an improved Bunch clustering method in cloud migration.' International Journal of Grid and Distributed Computing, 8 (4). pp. 1-10. ISSN 2005-4262

Abstract

As a new service mode in cloud computing, SaaS (software as a service) brings many attractive advantages. Legacy systems can be revived through being reengineered to SaaS. In order to achieve reengineering, the analysis and understanding to legacy systems are essential. For this goal, an improved Bunch clustering system is proposed to implement a utomatic modularization to object-oriented software systems so as to help engineer understand legacy system, including introduction of modular dependency graph with relationship type information, adaptation to initial partition and adjustment to modularization quality. The experiment results show that the improvement of Bunch clustering system is effective. The improved Bunch clustering system can make the clustering results more stable and consistent to the benchmarks.

Item Type: Article
Keywords: legacy system, softwarere engineering, software as a service , clustering, Bunch
Divisions: College of Liberal Arts
Date Deposited: 21 Mar 2017 17:50
Last Modified: 21 Mar 2017 17:50
URI: http://researchspace.bathspa.ac.uk/id/eprint/9445
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