Advances and applications in model-driven engineering by García Díaz, Vicente; Sanjuán Martínez, Oscar; Cueva

By García Díaz, Vicente; Sanjuán Martínez, Oscar; Cueva Lovelle, Juan Manuel; Pelayo García-Bustelo, Begona Cristina

As enterprises and examine associations proceed to stress model-driven engineering (MDE) as a first class procedure within the software program improvement strategy of complicated structures, the usage of software program in a number of domain names networks is turning into more and more vital.

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Figure 4 also references multiple other standard model classes that provide additional core functionality. These classes are depicted above the spaced line in the diagram: • Security User Account: Is the list of users that are defined in the application runtime execution environment. These users may be granted individual access. Figure 4. Overview class diagram of the Variant Logic Access components 17 Variant Logic for Model Driven Applications • • Logic Variant: Is a designated identifier to group all of the logic changes together into a practical set as an instance of Variant Logic.

Following the above listed sequences to apply Variant Logic, users of MDEIS applications can gain the full benefits of using Logic Variants – the ability for any authorized users and third parties to modify the application logic easily and readily, and to permit other users access to execute the application customizations, virtually instantly and without having to rely solely on technical solution providers Organizational Business Case for Variant Logic The paradigm asserted by our meta-data modeling and lifecycle methodology is that performance of the requirements analysis and efficient collection of this information can also perform the bulk of the design phase for a MD EIS application largely as a simultaneous activity.

Organization Efficiency: Due to the high lifecycle costs of customizations usually only the highest priority modifications are ever implemented. Accordingly, there is an indirect organizational cost incurred for every identified but unfulfilled improvement due to continuing to operate with the identified inefficiencies of the current available workflows and processes. MDEIS applications reduce the overall lifecycle costs compared to traditional EIS applications, below 20% in comparison, providing increased profitability and scope for significant Variant Logic customization.

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