no code implementations • 26 May 2023 • Fabio Anselmi, Mauro Castelli, Alberto D'Onofrio, Luca Manzoni, Luca Mariot, Martina Saletta
In recent years, a new mutation operator, Geometric Semantic Mutation with Local Search (GSM-LS), has been proposed to include a local search step in the mutation process based on the idea that performing a linear regression during the mutation can allow for a faster convergence to good-quality solutions.
no code implementations • 9 Mar 2021 • Martina Saletta, Claudio Ferretti
In this paper, we propose a novel approach for mining different program features by analysing the internal behaviour of a deep neural network trained on source code.
no code implementations • 1 Jan 2021 • Martina Saletta, Claudio Ferretti
In this paper, we propose a novel approach for analyzing and evaluating how a deep neural network is autonomously learning different features related to programs on different input representations.