Semantic Network Model: A Reasoning Engine for Software Requirements
Kushal Ahmed, Lian Wen, Abdul Rahman Sattar, Reza Farid · 2015
In this paper, we present a semantic network model (SNM) as a reasoning engine for the requirements models. The SNM consists of the vertices and the edges, in which they store information of the models and their interrelations. The SNM, through a semi-automated normalisation process, helps the user (1) to assign states to the models and their relations as to whether they can be included, excluded, or undecided, (2) to eliminate redundant interrelations, (3) to avoid over-specification, and (4) to visualise a simplified overview of the whole system. Finally, we formulate the well-formedness of the SNM, which indicates whether the given models can produce a formal specification. We also evaluate our techniques using several case studies.