Federico Quin

According to our database, Federico Quin authored at least 15 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Towards a Research Agenda for Understanding and ManagingUncertainty in Self-Adaptive Systems.

Danny Weyns, Radu Calinescu, Raffaela Mirandola, Kenji Tei, Maribel Acosta, Amel Bennaceur, Nicolas Boltz, Tomás Bures, Javier Cámara, Ada Diaconescu, Gregor Engels, Simos Gerasimou, Ilias Gerostathopoulos, Sinem Getir Yaman, Vincenzo Grassi, Sebastian Hahner, Emmanuel Letier, Marin Litoiu, Lina Marsso, Angelika Musil, Juergen Musil, Genaína Nunes Rodrigues, Diego Perez-Palacin, Federico Quin, Patrizia Scandurra, Antonio Vallecillo, Andrea Zisman

ACM SIGSOFT Softw. Eng. Notes, October, 2023

A/B Testing: A Systematic Literature Review.

Federico Quin, Danny Weyns, Matthias Galster, Camila Mariane Costa Silva

CoRR, 2023

Automating Pipelines of A/B Tests with Population Split Using Self-Adaptation and Machine Learning.

Federico Quin, Danny Weyns

CoRR, 2023

Reducing Large Adaptation Spaces in Self-Adaptive Systems Using Machine Learning.

Federico Quin, Danny Weyns, Omid Gheibi

CoRR, 2023

2022

Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-adaptive Systems.

Danny Weyns, Omid Gheibi, Federico Quin, M. Jeroen Van Der Donckt

ACM Trans. Auton. Adapt. Syst., 2022

Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation.

Danny Weyns, Ilias Gerostathopoulos, Barbora Buhnova, Nicolás Cardozo, Emilia Cioroaica, Ivana Dusparic, Lars Grunske, Pooyan Jamshidi, Christine Julien, Judith Michael, Gabriel A. Moreno, Shiva Nejati, Patrizio Pelliccione, Federico Quin, Genaína Nunes Rodrigues, Bradley R. Schmerl, Marco Vieira, Thomas Vogel, Rebekka Wohlrab

ACM SIGSOFT Softw. Eng. Notes, 2022

Reducing large adaptation spaces in self-adaptive systems using classical machine learning.

Federico Quin, Danny Weyns, Omid Gheibi

J. Syst. Softw., 2022

SEAByTE: A Self-adaptive Micro-service System Artifact for Automating A/B Testing.

Federico Quin, Danny Weyns

Proceedings of the International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2022

Detecting and Mitigating Jamming Attacks in IoT Networks Using Self-Adaptation.

Maxim Reynvoet, Omid Gheibi, Federico Quin, Danny Weyns

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, 2022

2021

Decentralized Self-Adaptive Systems: A Mapping Study.

Federico Quin, Danny Weyns, Omid Gheibi

Proceedings of the 16th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2021

On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems.

Omid Gheibi, Danny Weyns, Federico Quin

Proceedings of the 16th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2021

2020

Applying Machine Learning in Self-adaptive Systems: A Systematic Literature Review.

Omid Gheibi, Danny Weyns, Federico Quin

ACM Trans. Auton. Adapt. Syst., 2020

Applying deep learning to reduce large adaptation spaces of self-adaptive systems with multiple types of goals.

M. Jeroen Van Der Donckt, Danny Weyns, Federico Quin, Jonas Van Der Donckt, Sam Michiels

Proceedings of the SEAMS '20: IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, Seoul, Republic of Korea, 29 June, 2020

Systematic Approach to Engineer Decentralized Self-adaptive Systems.

Federico Quin

Proceedings of the Software Architecture - 14th European Conference, 2020

2019

Efficient analysis of large adaptation spaces in self-adaptive systems using machine learning.

Federico Quin, Danny Weyns, Thomas Bamelis, Sarpreet Singh Buttar, Sam Michiels

Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2019