Alejandro Velasco

28 papers A 2Journal 17Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code.
CoRR
Alejandro Velasco, Daniel Rodríguez-Cárdenas, Dipin Khati, David N. Palacio, Luftar Rahman Alif, Denys Poshyvanyk
2025 J jnl
How Do Semantically Equivalent Code Transformations Impact Membership Inference on LLMs for Code?
CoRR
Hua Yang, Alejandro Velasco, Thanh Le-Cong, Md Nazmul Haque, Bowen Xu, Denys Poshyvanyk
2025 — conf
How Propense Are Large Language Models at Producing Code Smells? A Benchmarking Study.
NIER@ICSE
Alejandro Velasco, Daniel Rodríguez-Cárdenas, Luftar Rahman Alif, David N. Palacio, Denys Poshyvanyk
2025 J jnl
On Explaining (Large) Language Models For Code Using Global Code-Based Explanations.
CoRR
David N. Palacio, Dipin Khati, Daniel Rodríguez-Cárdenas, Alejandro Velasco, Denys Poshyvanyk
2025 J jnl
On the Effectiveness of LLM-as-a-Judge for Code Generation and Summarization.
IEEE Trans. Software Eng.
Giuseppe Crupi, Rosalia Tufano, Alejandro Velasco, Antonio Mastropaolo, Denys Poshyvanyk, Gabriele Bavota
2025 J jnl
On the Effectiveness of LLM-as-a-judge for Code Generation and Summarization.
CoRR
Giuseppe Crupi, Rosalia Tufano, Alejandro Velasco, Antonio Mastropaolo, Denys Poshyvanyk, Gabriele Bavota
2025 A conf
SnipGen: A Mining Repository Framework for Evaluating LLMs for Code.
MSR
Daniel Rodríguez-Cárdenas, Alejandro Velasco, Denys Poshyvanyk
2025 J jnl
SnipGen: A Mining Repository Framework for Evaluating LLMs for Code.
CoRR
Daniel Rodríguez-Cárdenas, Alejandro Velasco, Denys Poshyvanyk
2025 A conf
Toward Neurosymbolic Program Comprehension.
ICPC
Alejandro Velasco, Aya Garryyeva, David N. Palacio, Antonio Mastropaolo, Denys Poshyvanyk
2025 J jnl
Toward Neurosymbolic Program Comprehension.
CoRR
Alejandro Velasco, Aya Garryyeva, David N. Palacio, Antonio Mastropaolo, Denys Poshyvanyk
2025 J jnl
Understanding Privacy Risks in Code Models Through Training Dynamics: A Causal Approach.
CoRR
Hua Yang, Alejandro Velasco, Sen Fang, Bowen Xu, Denys Poshyvanyk
2024 — conf
Beyond Accuracy: Evaluating Source Code Capabilities in Large Language Models for Software Engineering.
ICSE Companion
Alejandro Velasco
2024 J jnl
How Propense Are Large Language Models at Producing Code Smells? A Benchmarking Study.
CoRR
Alejandro Velasco, Daniel Rodríguez-Cárdenas, David N. Palacio, Luftar Rahman Alif, Denys Poshyvanyk
2024 J jnl
Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We?
CoRR
Conor O'Brien, Daniel Rodríguez-Cárdenas, Alejandro Velasco, David N. Palacio, Denys Poshyvanyk
2024 J jnl
Toward a Theory of Causation for Interpreting Neural Code Models.
IEEE Trans. Software Eng.
David Nader-Palacio, Alejandro Velasco, Nathan Cooper, Alvaro Rodriguez, Kevin Moran, Denys Poshyvanyk
2024 J jnl
Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations.
CoRR
David N. Palacio, Daniel Rodríguez-Cárdenas, Alejandro Velasco, Dipin Khati, Kevin Moran, Denys Poshyvanyk
2024 — conf
Which Syntactic Capabilities Are Statistically Learned by Masked Language Models for Code?
NIER@ICSE
Alejandro Velasco, David N. Palacio, Daniel Rodríguez-Cárdenas, Denys Poshyvanyk
2024 J jnl
Which Syntactic Capabilities Are Statistically Learned by Masked Language Models for Code?
CoRR
Alejandro Velasco, David N. Palacio, Daniel Rodríguez-Cárdenas, Denys Poshyvanyk
2023 J jnl
Evaluating and Explaining Large Language Models for Code Using Syntactic Structures.
CoRR
David N. Palacio, Alejandro Velasco, Daniel Rodríguez-Cárdenas, Kevin Moran, Denys Poshyvanyk
2023 J jnl
Toward a Theory of Causation for Interpreting Neural Code Models.
CoRR
David N. Palacio, Alejandro Velasco, Nathan Cooper, Alvaro Rodriguez, Kevin Moran, Denys Poshyvanyk
2020 — conf
Applying Machine Learning with Chaos Engineering.
ISSRE Workshops
Juan Hernández-Serrato, Alejandro Velasco, Yury Nifio, Mario Linares-Vásquez
2019 — conf
Recovering Fine Grained Traceability Links Between Software Mandatory Constraints and Source Code.
ICAI
Alejandro Velasco, Jairo Hernan Aponte Melo
2017 — conf
Evolving a Project-Based Software Engineering Course: A Case Study.
CSEE&T
David Delgado, Alejandro Velasco, Jairo Aponte, Andrian Marcus
2017 — —
Software-based methods for Operating system dependability.
Alejandro Velasco
2016 J jnl
A Mobile and Low-Cost System for Environmental Monitoring: A Case Study.
Sensors
Alejandro Velasco, Renato Ferrero, Filippo Gandino, Bartolomeo Montrucchio, Maurizio Rebaudengo
2016 J jnl
KITO tool: A fault injection environment in Linux kernel data structures.
Microelectron. Reliab.
Alejandro Velasco, Bartolomeo Montrucchio, Maurizio Rebaudengo
2015 — conf
On gait recognition with smartphone accelerometer.
MECO
Renato Ferrero, Filippo Gandino, Bartolomeo Montrucchio, Maurizio Rebaudengo, Alejandro Velasco, Imane Benkhelifa
2014 — conf
Fault injection in the process descriptor of a Unix-based operating system.
DFT
Bartolomeo Montrucchio, Maurizio Rebaudengo, Alejandro Velasco