An application to e-commerce workflows illustrates the benefits of the framework and the need for specific reasoning tools.
We demonstrate the benefits of the framework by applying it to the study of an Automotive Software System.
We discuss potential benefits of the framework and identify its current shortcomings.
Notable benefits of the framework are that it is straightforward to code and calibrate, its modular design allows the independent development of components, it may be applied in a participatory-modelling context, and its level of complexity can be altered, depending on the available resources.
In the experiments, we do not provide experimental results to demonstrate the benefit of the proposed framework over the conventional image based feature acquisition framework, the reasons are two-fold.
A second heuristic benefit of the ILTIAD framework lies in the fact that a legal institution approach provides an analytical focus on coherence within and between action situations, including action situations at different levels.
A key benefit of the conceptual framework and the analysis grid lies in their ability to present, in a synthesized, visual, and easily accessible way, the main elements from the scientific literature.
The TDF, used during the coding/analysis stage, was valuable, with benefits of using the framework including the efficiency with which the interview data could be coded.
The benefits of this framework include obtaining real-time interaction with complex geometry, and obviating the burden of transferring large amounts of data over networks.
Finally, the benefits of this framework for several location-sensitive applications are shown via emulations.
