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VARIANT LOGIC META-DATA MANAGEMENT FOR MODEL DRIVEN APPLICATIONS - Allows Unlimited End User Configuration and Customisation of All Meta-data EIS Application Features

Topics: Adaptive and Adaptable User Interfaces; Business Modeling and Business Process Management; Model Driven Architectures and Engineering; Models and Frameworks; Requirements Analysis And Management

Authors: Jon Davis and Elizabeth Chang

Affiliation: Curtin University of Technology and Curtin Business School, Australia

ISBN: 978-989-8425-56-0

Keyword(s): Meta-data, Meta-model, Variant, customisation, Logic, EIS, Lifecycle, Version control, Version management.

Related Ontology Subjects/Areas/Topics: Adaptive and Adaptable User Interfaces ; Enterprise Information Systems ; Human-Computer Interaction ; Information Systems Analysis and Specification ; Model Driven Architectures and Engineering ; Requirements Analysis And Management

Abstract: The scope for end users to influence the design and functionality of off the shelf Enterprise Information system (EIS) applications is usually minimal, requiring pursuing expensive vendor supported customisations. Our ongoing development of temporal meta-data EIS applications seeks to overcome these issues, through modelling rather than coding, and with the meta-data model supporting the capability for end users to define their own application logic meta-data, to supplement or replace the originating vendor’s pre-defined application logic, as what we term Variant Logic. Variant Logic can be applied to any object defined in a meta-data EIS application, and can be defined by any authorised user, without the need for additional coding, and is available for immediate execution by the framework runtime engine. Variant Logic is also preserved during automated meta-data application updates.

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Paper citation in several formats:
Davis, J. and Chang, E. (2011). VARIANT LOGIC META-DATA MANAGEMENT FOR MODEL DRIVEN APPLICATIONS - Allows Unlimited End User Configuration and Customisation of All Meta-data EIS Application Features.In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-989-8425-56-0, pages 395-400. DOI: 10.5220/0003467303950400

@conference{iceis11,
author={Jon Davis. and Elizabeth Chang.},
title={VARIANT LOGIC META-DATA MANAGEMENT FOR MODEL DRIVEN APPLICATIONS - Allows Unlimited End User Configuration and Customisation of All Meta-data EIS Application Features},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2011},
pages={395-400},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003467303950400},
isbn={978-989-8425-56-0},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - VARIANT LOGIC META-DATA MANAGEMENT FOR MODEL DRIVEN APPLICATIONS - Allows Unlimited End User Configuration and Customisation of All Meta-data EIS Application Features
SN - 978-989-8425-56-0
AU - Davis, J.
AU - Chang, E.
PY - 2011
SP - 395
EP - 400
DO - 10.5220/0003467303950400

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