Link Prediction for Completing Graphical Software Models Using Neural Networks
Onur Leblebici,
Tugkan Tuglular,
Fevzi Belli
Abstract:Deficiencies and inconsistencies introduced during the modeling of software systems may result in high costs and negatively impact the quality of all developments performed using these models. Therefore, developing more accurate models will aid software architects in developing software systems that match and exceed expectations. This paper proposes a graph neural network (GNN) method for predicting missing connections, or links, in graphical models, which are widely employed in modeling software systems. The … Show more
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