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Nicolás Cardozo
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2020 – today
- 2024
- [j17]Paul Leger, Hiroaki Fukuda, Nicolás Cardozo, Daniel San Martín:
Exploring a Self-Replication Algorithm to Flexibly Match Patterns. IEEE Access 12: 13553-13570 (2024) - [j16]Stephannie Jimenez, Gordana Rakic, Silvia Takahashi, Nicolás Cardozo:
Out of step: Code clone detection for mobile apps across different language codebases. Sci. Comput. Program. 236: 103112 (2024) - [c42]Mateo Sanabria, Ivana Dusparic, Nicolás Cardozo:
Learning Recovery Strategies for Dynamic Self-healing in Reactive Systems. SEAMS@ICSE 2024: 133-142 - [i7]Mateo Sanabria, Ivana Dusparic, Nicolás Cardozo:
Learning Recovery Strategies for Dynamic Self-healing in Reactive Systems. CoRR abs/2401.12405 (2024) - [i6]Juan C. Rosero, Ivana Dusparic, Nicolás Cardozo:
Multi-Objective Deep Reinforcement Learning for Optimisation in Autonomous Systems. CoRR abs/2408.01188 (2024) - 2023
- [j15]Paul Leger, Nicolás Cardozo, Hidehiko Masuhara:
An expressive and modular layer activation mechanism for Context-Oriented Programming. Inf. Softw. Technol. 156: 107132 (2023) - [j14]Nicolás Cardozo, Ivana Dusparic:
Auto-COP: Adaptation generation in Context-oriented Programming using Reinforcement Learning options. Inf. Softw. Technol. 164: 107308 (2023) - [j13]Achiya Elyasaf, Nicolás Cardozo, Arnon Sturm:
A framework for analyzing context-oriented programming languages. J. Syst. Softw. 198: 111614 (2023) - [j12]Matias Salinas, Paul Leger, Hiroaki Fukuda, Nicolás Cardozo, Vannessa de J. Duarte, Ismael Figueroa:
Evaluations of Integrated Programming Environment for First-Year Students in Computer Engineering. J. Univers. Comput. Sci. 29(1): 73-97 (2023) - [j11]Paul Leger, Felipe Ruiz, Hiroaki Fukuda, Nicolás Cardozo:
Benefits, challenges, and usability evaluation of DeloreanJS: a back-in-time debugger for JavaScript. PeerJ Comput. Sci. 9: e1238 (2023) - [j10]Matteo Biagiola, Nicolás Cardozo, Donghwan Shin, Foutse Khomh, Andrea Stocco, Vincenzo Riccio:
Summary of the Fourth International Workshop on Deep Learning for Testing and Testing for Deep Learning (DeepTest 2023). ACM SIGSOFT Softw. Eng. Notes 48(4): 39-40 (2023) - [c41]Nicolás Cardozo, Ivana Dusparic, Christian Cabrera:
Prevalence of Code Smells in Reinforcement Learning Projects. CAIN 2023: 37-42 - [c40]Stephannie Jimenez, Gordana Rakic, Silvia Takahashi, Nicolás Cardozo:
Cross-language Clone Detection for Mobile Apps. CIbSE 2023: 107-121 - [c39]Sergio Cardenas, Paul Leger, Hiroaki Fukuda, Nicolás Cardozo:
Points-to Analysis for Context-Oriented JavaScript Programs. FTfJP@ECOOP 2023: 18-24 - [i5]Nicolás Cardozo, Ivana Dusparic, Christian Cabrera:
Prevalence of Code Smells in Reinforcement Learning Projects. CoRR abs/2303.10236 (2023) - [i4]Paul Leger, Felipe Ruiz, Nicolás Sepúlveda, Ismael Figueroa, Nicolás Cardozo:
The Stackage Repository: An Exploratory Study of its Evolution. CoRR abs/2310.10887 (2023) - 2022
- [j9]Nicolás Cardozo, Kim Mens:
Programming language implementations for context-oriented self-adaptive systems. Inf. Softw. Technol. 143: 106789 (2022) - [j8]Nicolás Cardozo, Ivana Dusparic:
Next Generation Context-oriented Programming: Embracing Dynamic Generation of Adaptations. J. Object Technol. 21(2): 1-6 (2022) - [j7]Juan Sebastián Sosa, Paul Leger, Hiroaki Fukuda, Nicolás Cardozo:
Ad hoc systems management and specification with distributed Petri nets. J. Parallel Distributed Comput. 169: 117-129 (2022) - [j6]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:
Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation. ACM SIGSOFT Softw. Eng. Notes 47(4): 18-24 (2022) - [c38]Hiroaki Fukuda, Paul Leger, Nicolás Cardozo:
Layer Activation Mechanism for Asynchronous Executions in JavaScript. COP@ECOOP 2022: 1-8 - [c37]Juan Camilo Sanguino, Rubén Manrique, Olga Mariño, Mario Linares, Nicolás Cardozo:
Log mining for course recommendation in limited information scenarios. EDM 2022 - [i3]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:
Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation. CoRR abs/2206.12492 (2022) - 2021
- [j5]Jairo Ariza, Kelly Garcés, Nicolás Cardozo, Juan-Pablo Rodríguez-Sánchez, José Fernando Jiménez Vargas:
IoT architecture for adaptation to transient devices. J. Parallel Distributed Comput. 148: 14-30 (2021) - [c36]Nicolás Cardozo, Ivana Dusparic:
Adaptation to Unknown Situations as the Holy Grail of Learning-Based Self-Adaptive Systems: Research Directions. SEAMS@ICSE 2021: 252-253 - [e1]Sinem Getir Yaman, Rui Prada, Fitsum Meshesha Kifetew, Nicolás Cardozo:
A-TEST 2021: Proceedings of the 12th International Workshop on Automating TEST Case Design, Selection, and Evaluation, A-TEST@ESEC/SIGSOFT FSE 2021, Athens, Greece, August 23-24, 2021. ACM 2021, ISBN 978-1-4503-8623-4 [contents] - [i2]Nicolás Cardozo, Ivana Dusparic:
Auto-COP: Adaptation Generation in Context-Oriented Programming using Reinforcement Learning Options. CoRR abs/2103.06757 (2021) - [i1]Ivana Dusparic, Nicolás Cardozo:
Adaptation to Unknown Situations as the Holy Grail of Learning-Based Self-Adaptive Systems: Research Directions. CoRR abs/2103.06908 (2021) - 2020
- [c35]Nicolás Cardozo, Ivana Dusparic:
Language Abstractions and Techniques for Developing Collective Adaptive Systems Using Context-oriented Programming. ACSOS Companion 2020: 133-138 - [c34]Nicolás Cardozo, Ivana Dusparic:
Learning run-time compositions of interacting adaptations. SEAMS@ICSE 2020: 108-114 - [c33]Miller Trujillo, Mario Linares-Vásquez, Camilo Escobar-Velásquez, Ivana Dusparic, Nicolás Cardozo:
Does Neuron Coverage Matter for Deep Reinforcement Learning?: A Preliminary Study. ICSE (Workshops) 2020: 215-220
2010 – 2019
- 2019
- [j4]Daniel Tello, Juanita Gil, Cristian D. Loaiza, John J. Riascos, Nicolás Cardozo, Jorge Duitama:
NGSEP3: accurate variant calling across species and sequencing protocols. Bioinform. 35(22): 4716-4723 (2019) - [j3]Lina Ochoa, Oscar González Rojas, Nicolás Cardozo, Alvaro González, Jaime Chavarriaga, Rubby Casallas, Juan Francisco Díaz:
Constraint programming heuristics for configuring optimal products in multi product lines. Inf. Sci. 474: 33-47 (2019) - [c32]Jose Daniel Fandiño de la Hoz, Juan Sebastián Sosa, Nicolás Cardozo:
Distributed Context Petri Nets. COP@ECOOP 2019: 24-31 - [c31]Rubén Manrique, Bernardo Pereira Nunes, Olga Mariño, Nicolás Cardozo, Sean W. M. Siqueira:
Towards the Identification of Concept Prerequisites Via Knowledge Graphs. ICALT 2019: 332-336 - [c30]Maxime Guériau, Nicolás Cardozo, Ivana Dusparic:
Constructivist Approach to State Space Adaptation in Reinforcement Learning. SASO 2019: 52-61 - 2018
- [j2]Nanxi Chen, Nicolás Cardozo, Siobhán Clarke:
Goal-Driven Service Composition in Mobile and Pervasive Computing. IEEE Trans. Serv. Comput. 11(1): 49-62 (2018) - [c29]Juan-Alberto Hernández-Martínez, Ulises Juárez-Martínez, Nicolás Cardozo:
Syntixi - A Generative Approach to Dynamic Fusion of Software Components. CIbSE 2018: 248-261 - [c28]Santiago Beltran, Nicolás Cardozo:
A collaborative IDE for dynamic multi-versioning and variant management. CIbSE 2018: 437-450 - [c27]Nicolás Cardozo:
A Declarative Language for Context Activation. COP@ECOOP 2018: 1-7 - [c26]Jairo Ariza, Camilo Mendoza, Kelly Garcés, Nicolás Cardozo:
A Research Agenda for IOT Adaptive Architectures. UCAmI 2018: 1229 - [c25]Tijana Vislavski, Gordana Rakic, Nicolás Cardozo, Zoran Budimac:
LICCA: A tool for cross-language clone detection. SANER 2018: 512-516 - [c24]Rubén Manrique, Juan Sebastián Sosa, Olga Mariño, Bernardo Pereira Nunes, Nicolás Cardozo:
Investigating Learning Resources Precedence Relations via Concept Prerequisite Learning. WI 2018: 198-205 - 2017
- [c23]Nicolás Cardozo, Ivana Dusparic, Jorge H. Castro:
Peace COrP: learning to solve conflicts between contexts. COP@ECOOP 2017: 1-6 - [c22]Kim Mens, Benoît Duhoux, Nicolás Cardozo:
Managing the Context Interaction Problem: A Classification and Design Space of Conflict Resolution Techniques in Dynamically Adaptive Software Systems. Programming 2017: 8:1-8:6 - [c21]Nguonly Taing, Thomas Springer, Nicolás Cardozo, Alexander Schill:
A Rollback Mechanism to Recover from Software Failures in Role-based Adaptive Software Systems. Programming 2017: 11:1-11:6 - 2016
- [c20]Kim Mens, Rafael Capilla, Nicolás Cardozo, Bruno Dumas:
A taxonomy of context-aware software variability approaches. MODULARITY (Companion) 2016: 119-124 - [c19]Nguonly Taing, Thomas Springer, Nicolás Cardozo, Alexander Schill:
A dynamic instance binding mechanism supporting run-time variability of role-based software systems. MODULARITY (Companion) 2016: 137-142 - [c18]Vivek Nallur, Eamonn O'Toole, Nicolás Cardozo, Siobhán Clarke:
Algorithm Diversity: A Mechanism for Distributive Justice in a Socio-Technical MAS. AAMAS 2016: 420-428 - [c17]Kim Mens, Nicolás Cardozo, Benoît Duhoux:
A Context-Oriented Software Architecture. COP@ECOOP 2016: 7-12 - [c16]Nguonly Taing, Markus Wutzler, Thomas Springer, Nicolás Cardozo, Alexander Schill:
Consistent Unanticipated Adaptation for Context-Dependent Applications. COP@ECOOP 2016: 33-38 - [c15]Vivek Nallur, Nicolás Cardozo, Siobhán Clarke:
Clonal plasticity: a method for decentralized adaptation in multi-agent systems. SEAMS@ICSE 2016: 122-128 - [c14]Nicolás Cardozo:
Emergent software services. Onward! 2016: 15-28 - [c13]Kim Mens, Nicolás Cardozo, Bruno Dumas, Anthony Cleve:
Beyond Context-Oriented Software. SATToSE 2016: 5-16 - 2015
- [j1]Nicolás Cardozo, Sebastián González, Kim Mens, Ragnhild Van Der Straeten, Jorge Vallejos, Theo D'Hondt:
Semantics for consistent activation in context-oriented systems. Inf. Softw. Technol. 58: 71-94 (2015) - [c12]Nicolás Cardozo, Siobhán Clarke:
Context Slices: Lightweight discovery of behavioral adaptations. COP@ECOOP 2015: 2:1-2:6 - [c11]Nicolás Cardozo, Siobhán Clarke:
Language design for developing smart adaptive services. ISC2 2015: 1-2 - [c10]Nicolás Cardozo, Vivek Nallur, Siobhán Clarke:
Enabling participatory routing using a smart routing platform. ISC2 2015: 1-2 - 2014
- [c9]Nicolás Cardozo, Laurent Christophe, Coen De Roover, Wolfgang De Meuter:
Run-time Validation of Behavioral Adaptations. COP@ECOOP 2014: 5:1-5:6 - [c8]Nicolás Cardozo, Wolfgang De Meuter, Kim Mens, Sebastián González, Pierre-Yves Orban:
Features on demand. VaMoS 2014: 18:1-18:8 - 2013
- [c7]Nicolás Cardozo, Kim Mens, Siobhán Clarke:
Models for the Consistent Interaction of Adaptations in Self-Adaptive Systems. Software Engineering for Self-Adaptive Systems 2013: 307-348 - [c6]Nicolás Cardozo, Sebastián González, Kim Mens, Ragnhild Van Der Straeten, Theo D'Hondt:
Modeling and Analyzing Self-Adaptive Systems with Context Petri Nets. TASE 2013: 191-198 - 2012
- [c5]Nicolás Cardozo, Jorge Vallejos, Sebastián González, Kim Mens, Theo D'Hondt:
Context Petri Nets: Enabling Consistent Composition of Context-dependent Behavior. PNSE 2012: 156-170 - [c4]Nicolás Cardozo, Sebastián González, Kim Mens, Theo D'Hondt:
Uniting global and local context behavior with context Petri nets. COP@ECOOP 2012: 3:1-3:6 - [c3]Eddy Truyen, Nicolás Cardozo, Stefan Walraven, Jorge Vallejos, Engineer Bainomugisha, Sebastian Günther, Theo D'Hondt, Wouter Joosen:
Context-oriented programming for customizable SaaS applications. SAC 2012: 418-425 - 2011
- [c2]Nicolás Cardozo, Sebastián González, Kim Mens, Theo D'Hondt:
Safer context (de)activation: through the prompt-loyal strategy. COP@ECOOP 2011: 2:1-2:6 - 2010
- [c1]Sebastián González, Nicolás Cardozo, Kim Mens, Alfredo Cádiz, Jean-Christophe Libbrecht, Julien Goffaux:
Subjective-C - Bringing Context to Mobile Platform Programming. SLE 2010: 246-265
Coauthor Index
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last updated on 2024-10-21 21:28 CEST by the dblp team
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