Source Code Driven Enterprise Application Decomposition: Preliminary Evaluation

Procedia Computer Science 2015
Inese Šūpulniece, Inese Poļaka, Solvita Bērziša, Jānis Grabis, Edgars Ozoliņš, Egils Meiers

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.

Keywords
decomposition; enterprise application; modularization; software clustering
DOI
10.1016/j.procs.2015.12.377
Hyperlink
http://www.sciencedirect.com/science/article/pii/S1877050915038879

Šūpulniece, I., Poļaka, I., Bērziša, S., Grabis, J., Ozoliņš, E., Meiers, E. Source Code Driven Enterprise Application Decomposition: Preliminary Evaluation. Procedia Computer Science, 2015, Vol.77, pp.167-175. ISSN 1877-0509. Available from: doi:10.1016/j.procs.2015.12.377

Publication language
English (en)