Search Results for author: Filomena Ferrucci

Found 3 papers, 1 papers with code

Machine Learning-Based Test Smell Detection

1 code implementation16 Aug 2022 Valeria Pontillo, Dario Amoroso d'Aragona, Fabiano Pecorelli, Dario Di Nucci, Filomena Ferrucci, Fabio Palomba

Objective: We propose the design and experimentation of a novel test smell detection approach based on machine learning to detect four test smells.

An Approach for Parallel Genetic Algorithms in the Cloud using Software Containers

no code implementations22 Jun 2016 Pasquale Salza, Filomena Ferrucci

Genetic Algorithms (GAs) are a powerful technique to address hard optimisation problems.

A Framework for Genetic Algorithms Based on Hadoop

no code implementations30 Nov 2013 Filomena Ferrucci, M-Tahar Kechadi, Pasquale Salza, Federica Sarro

The main purpose of this framework is to allow the user to focus on the aspects of GA that are specific to the problem to be addressed, being sure that this task is going to be correctly executed on the Cloud with a good performance.

Cannot find the paper you are looking for? You can Submit a new open access paper.