Natural language generation to support the understanding of task models: a preliminary study

During the design of IS, several stakeholders, each with their own expertise and culture, will use the task model (TM). Then, TM must be understood by several kinds of stakeholders. Adapting the presentation of the TM information to the stakeholder and the use he or she makes of it, is therefore a key point for them to be understood. however, none of the tools for use information of the TM allow to understand the modeled activity without knowing the notation used. In this paper, we propose to use a presentation in the textual form as a tool for verification and consultation of the task model. Two evaluations were conducted on the use of this presentation for (1) the correction of a model by its designers and (2) the understanding of a task model by computer scientists who did not design the model. These evaluations show that the textual presentation of the task model provides a complementary point of view allowing a better understanding and facilitating the improvement of the model.

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