Federico Quin

23 papers A 1Journal 15Unranked 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
A/B testing: A systematic literature review.
J. Syst. Softw.
Federico Quin, Danny Weyns, Matthias Galster, Camila Mariane C. Silva
2024 — conf
Automating Pipelines of A/B Tests with Population Split Using Self-Adaptation and Machine Learning.
SEAMS@ICSE
Federico Quin, Danny Weyns
2023 J jnl
A/B Testing: A Systematic Literature Review.
CoRR
Federico Quin, Danny Weyns, Matthias Galster, Camila Mariane Costa Silva
2023 J jnl
Automating Pipelines of A/B Tests with Population Split Using Self-Adaptation and Machine Learning.
CoRR
Federico Quin, Danny Weyns
2023 J jnl
Reducing Large Adaptation Spaces in Self-Adaptive Systems Using Machine Learning.
CoRR
Federico Quin, Danny Weyns, Omid Gheibi
2023 J jnl
Towards a Research Agenda for Understanding and ManagingUncertainty in Self-Adaptive Systems.
ACM SIGSOFT Softw. Eng. Notes
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
2022 J jnl
Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-Adaptive Systems.
CoRR
Danny Weyns, Omid Gheibi, Federico Quin, M. Jeroen Van Der Donckt
2022 J jnl
Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-adaptive Systems.
ACM Trans. Auton. Adapt. Syst.
Danny Weyns, Omid Gheibi, Federico Quin, M. Jeroen Van Der Donckt
2022 — conf
Detecting and Mitigating Jamming Attacks in IoT Networks Using Self-Adaptation.
ACSOS-C
Maxim Reynvoet, Omid Gheibi, Federico Quin, Danny Weyns
2022 J jnl
Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation.
CoRR
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
2022 J jnl
Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation.
ACM SIGSOFT Softw. Eng. Notes
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
2022 J jnl
Reducing large adaptation spaces in self-adaptive systems using classical machine learning.
J. Syst. Softw.
Federico Quin, Danny Weyns, Omid Gheibi
2022 A conf
SEAByTE: A Self-adaptive Micro-service System Artifact for Automating A/B Testing.
SEAMS
Federico Quin, Danny Weyns
2022 J jnl
SEAByTE: A Self-adaptive Micro-service System Artifact for Automating A/B Testing.
CoRR
Federico Quin, Danny Weyns
2021 J jnl
Applying Machine Learning in Self-Adaptive Systems: A Systematic Literature Review.
CoRR
Omid Gheibi, Danny Weyns, Federico Quin
2021 — conf
Decentralized Self-Adaptive Systems: A Mapping Study.
SEAMS@ICSE
Federico Quin, Danny Weyns, Omid Gheibi
2021 J jnl
Decentralized Self-Adaptive Systems: A Mapping Study.
CoRR
Federico Quin, Danny Weyns, Omid Gheibi
2021 — conf
On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems.
SEAMS@ICSE
Omid Gheibi, Danny Weyns, Federico Quin
2021 J jnl
On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems.
CoRR
Omid Gheibi, Danny Weyns, Federico Quin
2020 J jnl
Applying Machine Learning in Self-adaptive Systems: A Systematic Literature Review.
ACM Trans. Auton. Adapt. Syst.
Omid Gheibi, Danny Weyns, Federico Quin
2020 — conf
Applying deep learning to reduce large adaptation spaces of self-adaptive systems with multiple types of goals.
SEAMS@ICSE
M. Jeroen Van Der Donckt, Danny Weyns, Federico Quin, Jonas Van Der Donckt, Sam Michiels
2020 — conf
Systematic Approach to Engineer Decentralized Self-adaptive Systems.
ECSA Companion
Federico Quin
2019 — conf
Efficient analysis of large adaptation spaces in self-adaptive systems using machine learning.
SEAMS@ICSE
Federico Quin, Danny Weyns, Thomas Bamelis, Sarpreet Singh Buttar, Sam Michiels