Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
487087 | Procedia Computer Science | 2015 | 9 Pages |
Abstract
Many legacy enterprise applications are large, monolithic and tightly coupled. Their maintenance is expensive and these systems are inflexible in fast changing environments. Modularization can improve the maintainability and increase the efficiency of legacy enterprise applications. This paper describes a source code driven decomposition of a large enterprise application using clustering methods and by taking into account business domain knowledge. The method is applied for decomposition of a large industrial ERP system.
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