49 citations · 144 across the 24 of their papers we have counts for
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cs.SE2023★ 5 cited
A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction
Peter Samoaa, Linus Aronsson, Antonio Longa +2
Most machine learning and data analytics applications, including performance engineering in software systems, require a large number of annotations and labelled data, which might n…
cs.SE2022
TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks
Hazem Peter Samoaa, Antonio Longa, Mazen Mohamad +2
Predicting the performance of production code prior to actually executing or benchmarking it is known to be highly challenging. In this paper, we propose a predictive model, dubbed…