Variant Logic for Model Driven Applications

Author:

Davis Jon1,Chang Elizabeth1

Affiliation:

1. Curtin University, Australia

Abstract

Customizing Enterprise Information Systems (EIS) scale applications can be very expensive, also incurring additional costs during their lifecycle when customizations may need to be re-engineered to suit each EIS upgrade. The ongoing development of a temporal meta-data framework for EIS applications seeks to overcome these issues, with the application logic model supporting the capability for end users to define their own supplemental or replacement application logic meta-data, as what the authors term Variant Logic, to become a variation of the core application logic. Variant Logic can be applied to any defined model object whether visual objects, logical processing objects, or data structures objects. Variant Logic can be defined by any authorized user, through modeling rather than coding, executed by any user as an alternative to the original application logic, and is available for immediate execution by the framework runtime engine. Variant Logic is also preserved during automated meta-data application updates.

Publisher

IGI Global

Reference25 articles.

1. Cicchetti, A., Di Ruscio, D., & Di Salle, A. (2007). Software customization in model driven development of web applications. In Proceedings of the 2007 ACM Symposium on Applied Computing (pp. 1025-1030). ACM Press.

2. Davis, J., & Chang, E. (2011a). variant logic meta-data management for model driven applications 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 (ICEIS 2011) (pp. 395-400). SciTePress.

3. Davis, J., & Chang, E. (2011b). Lifecycle and generational application of automated updates to MDA based enterprise information systems. In Proceedings of the Second Symposium on Information and Communication Technology (SoICT '11) (pp. 207-216). ACM Press.

4. Davis, J., & Chang, E. (2011c). Automatic application update with user customization integration and collision detection for model driven applications. In Proceedings of the World Congress on Engineering and Computer Science 2011 (pp. 1081-1086). Newswood Limited.

5. Davis, J., & Chang, E. (2011d). Temporal meta-data management for model driven applications - Provides full temporal execution capabilities throughout the meta-data EIS application lifecycle. In Proceedings of the 13th International Conference on Enterprise Information Systems (ICEIS 2011) (pp. 376-379). SciTePress.

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