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Authors: G. Howells 1 ; B. Bordbar 2 and D. H. Akehurst 1

Affiliations: 1 University of Kent, United Kingdom ; 2 University of Birmingham, United Kingdom

Keyword(s): Reverse engineering, Design recovery, Model transformation, Adaptive systems.

Related Ontology Subjects/Areas/Topics: Cross-Feeding between Data and Software Engineering ; Health Engineering and Technology Applications ; Model-Driven Engineering ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Reverse Engineering ; Software Engineering ; Software Engineering Methods and Techniques

Abstract: The key research focus of this paper is the combination of advantages from rule based and adaptive systems to produce a hybrid technique that is better able to handle transformations than either technique in its own right. The target problem for the techniques we are developing of reverse engineering is a significant problem when dealing with legacy systems but has great advantages over the significant costs of maintaining or reengineering the old code. The significant novelty of the system is the application of adaptive systems to the problem, these serve to reduce the complexity and quantities inherent in defining transformations rules for each individual case. Current reverse engineering approaches fail due to the difficulties of writing rules to recognize every possible pattern of code that maps to the higher level model.

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Paper citation in several formats:
Howells, G.; Bordbar, B. and Akehurst, D. (2009). MODEL TRANSFORMATION USING ADAPTIVE SYSTEMS. In Proceedings of the 4th International Conference on Software and Data Technologies - Volume 1: ICSOFT; ISBN 978-989-674-009-2; ISSN 2184-2833, SciTePress, pages 133-138. DOI: 10.5220/0002242601330138

@conference{icsoft09,
author={G. Howells. and B. Bordbar. and D. H. Akehurst.},
title={MODEL TRANSFORMATION USING ADAPTIVE SYSTEMS},
booktitle={Proceedings of the 4th International Conference on Software and Data Technologies - Volume 1: ICSOFT},
year={2009},
pages={133-138},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002242601330138},
isbn={978-989-674-009-2},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Software and Data Technologies - Volume 1: ICSOFT
TI - MODEL TRANSFORMATION USING ADAPTIVE SYSTEMS
SN - 978-989-674-009-2
IS - 2184-2833
AU - Howells, G.
AU - Bordbar, B.
AU - Akehurst, D.
PY - 2009
SP - 133
EP - 138
DO - 10.5220/0002242601330138
PB - SciTePress

- Science and Technology Publications, Lda.
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