Advances and applications in model-driven engineering - download pdf or read online

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

ISBN-10: 146664494X

ISBN-13: 9781466644946

ISBN-10: 1466644958

ISBN-13: 9781466644953

ISBN-10: 1466644966

ISBN-13: 9781466644960

ISBN-10: 1680154737

ISBN-13: 9781680154733

As companies and study associations proceed to stress model-driven engineering (MDE) as a first class technique within the software program improvement means of complicated platforms, the usage of software program in a number of domain names networks is turning into more and more vital.

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If a minor Logic Variant saved a few percent of effort for a group of staff the cumulative savings can become significant from dozens, hundreds or thousands of Logic Variants. e. maintaining an “out of the box” implementation throughout the lifecycle and performing regular OEM updates to achieve any new functionality. When outsourcing major customizations, as Variant Logic, we expect that a similar savings factor would be experienced due to the procedural similarity with general MDEIS application development.

View Tables: Are collections of any View Columns. The ultimate database transactions are determined on the relative relationships between the View Columns. g. Classification. Functions: The most common usage in this example is to perform any additional verification upon data entry. As functions can access and invoke every data and object attribute and method they can be used to perform any simple or complex task. 21 Variant Logic for Model Driven Applications To illustrate more complex Logic Variants involving complex functions, application workflow and data processing requires a significantly more detailed tutorial approach to demonstrate.

User Base: The number of users and groups that can be affected by Logic Variants. Customization: The number, scale and effect of Logic Variants implemented. Performance: Accurate baseline information about organizational efficiency and performance to determine the measurement of improvements as well as the cost of inefficient procedures. Policy: The level of capability training and permissibility to create Logic Variants across the organization. While the savings cannot be readily determined other than for very specific application, (in)efficiency, organization and scenario examples, consider the following basic example: A large organization with thousands of users (say 1000 users) could readily generate thousands of minor Logic Variants over the lifecycle (say 1000 created).

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Advances and applications in model-driven engineering by García Díaz, Vicente; Sanjuán Martínez, Oscar; Cueva Lovelle, Juan Manuel; Pelayo García-Bustelo, Begona Cristina


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