David N. Palacio
David N. Palacio
Phd Student
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Cited by
Cited by
Studying the usage of text-to-text transfer transformer to support code-related tasks
A Mastropaolo, S Scalabrino, N Cooper, DN Palacio, D Poshyvanyk, ...
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
A systematic literature review on the use of deep learning in software engineering research
C Watson, N Cooper, DN Palacio, K Moran, D Poshyvanyk
ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (2), 1-58, 2022
Using transfer learning for code-related tasks
A Mastropaolo, N Cooper, DN Palacio, S Scalabrino, D Poshyvanyk, ...
IEEE Transactions on Software Engineering 49 (4), 1580-1598, 2022
Improving the effectiveness of traceability link recovery using hierarchical bayesian networks
K Moran, DN Palacio, C Bernal-Cárdenas, D McCrystal, D Poshyvanyk, ...
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
Learning to identify security-related issues using convolutional neural networks
DN Palacio, D McCrystal, K Moran, C Bernal-Cárdenas, D Poshyvanyk, ...
2019 IEEE International conference on software maintenance and evolution …, 2019
Benchmarking Causal Study to Interpret Large Language Models for Source Code
D Rodriguez-Cardenas, DN Palacio, D Khati, H Burke, D Poshyvanyk
2023 IEEE International Conference on Software Maintenance and Evolution …, 2023
Toward a theory of causation for interpreting neural code models
DN Palacio, A Velasco, N Cooper, A Rodriguez, K Moran, D Poshyvanyk
IEEE Transactions on Software Engineering, 2024
Evaluating and explaining large language models for code using syntactic structures
DN Palacio, A Velasco, D Rodriguez-Cardenas, K Moran, D Poshyvanyk
arXiv preprint arXiv:2308.03873, 2023
Assessing single-objective performance convergence and time complexity for refactoring detection
D Nader-Palacio, D Rodríguez-Cárdenas, J Gomez
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018
Which Syntactic Capabilities Are Statistically Learned by Masked Language Models for Code?
A Velasco, DN Palacio, D Rodriguez-Cardenas, D Poshyvanyk
arXiv preprint arXiv:2401.01512, 2024
A computational solution for the software refactoring problem: from a formalism toward an optimization approach
DA Nader Palacio
Departamento de Ingeniería de Sistemas e Industrial, 2017
ICSME 2023
A Awal, AI Alam, AV Dimate, A Saha, B Nwiran, DHR Cardenas, ...
Subreviewers of MOBILESoft 2020
AS Ami, CEB Cardenas, EM Grua, S Mohian, DN Palacio, GL Scoccia, ...
Additional Reviewers MSR 2019
A Parsai, A Brito, A Hora, A Di Sorbo, B van Bladel, CB Cardenas, ...
Demonstration–Additional Reviewers
AS Ami, C Bernal-Cárdenas, M Caulo, N Cooper, C Coviello, S Fakhoury, ...
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