A model-based approach for extracting business rules out of legacy information systems

Today’s business world is very dynamic and organizations have to quickly adjust their internal policies to follow the market changes. Such adjustments must be propagated to the business logic embedded in the organization’s information systems, that are often legacy applications not designed to represent and operationalize the business logic independently from the technical aspects of the programming language employed. Consequently, the business logic buried in the system must be discovered and understood before being modified. Unfortunately, such activities slow down the modification of the system to new requirements settled in the organization policies and threaten the consistency and coherency of the organization business. In order to simplify these activities, we provide amodel-based approach to extract and represent the business logic, expressed as a set of business rules, from the behavioral and structural parts of information systems. We implement such approach for Java, COBOL and relational database management systems. The proposed approach is based on Model Driven Engineering,that provides a generic and modular solution adaptable to different languages by offering an abstract and homogeneous representation of the system.

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Source https://theses.hal.science/tel-00984763
Author Cosentino, Valerio
Maintainer CCSD
Last Updated May 5, 2026, 12:47 (UTC)
Created May 5, 2026, 12:47 (UTC)
Identifier NNT: 2013EMNA0138
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire d'Informatique de Nantes Atlantique (LINA) ; Mines Nantes (Mines Nantes)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST) ; Université de Nantes (UN)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)
creator Cosentino, Valerio
date 2013-12-18T00:00:00
harvest_object_id ab32a8a1-65bd-4462-9470-8748d6d51e2d
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE