ENT: A Generic Meta-Model for the Description of Component-Based Applications

Snajberk, Jaroslav; Brada, Přemek

doi:10.1016/j.entcs.2011.11.012

Cited by 2 publications

(1 citation statement)

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“…The exchange data structure must be, in the first place, component model independent and have the ability to describe component in desired detail. We chose the ENT meta-model (Snajberk and Brada, 2011a) for this purpose, which is a generic meta-model developed directly for the description of component-based applications. Its most important features are: faceted classification used to characterize component's elements; ability to describe any component with required details; and coverage of both component model and component-based application structures.…”

Section: Component Application Visualizer: Comavmentioning

confidence: 99%

COMAV - A COMPONENT APPLICATION VISUALIZATION TOOL - Use of Reverse Engineering and Interactivity in Visualization for Component Software Comprehension

Snajberk

Brada

2012

Proceedings of the International Conference on Computer Graphics Theory and Applications

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Visualization of software applications plays an important part in the process of comprehending new software systems and is even more important due to its increasing complexity. Component-based development works with complex structure of black-box units and paradoxically there is not much choice in terms of both notation and tooling when one needs to visualize structure of these component-based applications. Reverse engineering is available for only a few component models and the state of the practice in visualization is the simple and static component diagram introduced in UML 2.0. In this paper we present a tool that is generic and it is therefore usable for any component-based application. This tool works with an advanced meta-model (ENT) as an intermediate data model to store all the reverse-engineered information about these applications. This information is then available for further visualization. A new notation based on this meta-model is also suggested in this paper which uses several interactive techniques to enhance the comprehension process.

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Section: Component Application Visualizer: Comavmentioning

confidence: 99%