TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks

no code implementations • 25 Aug 2022 • Hazem Peter Samoaa, Antonio Longa, Mazen Mohamad, Morteza Haghir Chehreghani, Philipp Leitner

TEP-GNN uses FA-ASTs, or flow-augmented ASTs, as a graph-based code representation approach, and predicts test execution times using a powerful graph neural network (GNN) deep learning model.

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