Alejandro Velasco
PhD Candidate - Computer Science. Arts & Sciences, William & Mary.
About me
Greetings! my name is Alejandro Velasco. I am a PhD Candidate of Computer Science at William and Mary under the mentorship of Dr. Denys Poshyvanyk. I currently work as a member of SEMERU research laboratory. I am a Software Engineer with years of experience in research and industry.
My research interest are Software Engineering, Machine Learning, Deep Learning Interpretability and Deep Represention.
Teaching Experience
Publications
D. N. Palacio, A. Velasco, N. Cooper, A. Rodriguez, K. Moran, and D. Poshyvanyk, “Toward a Theory of Causation for Interpreting Neural Code Models.” arXiv, Mar. 18, 2024. doi: 10.48550/arXiv.2302.03788.
A. Velasco, D. N. Palacio, D. Rodriguez-Cardenas, and D. Poshyvanyk, “Which Syntactic Capabilities Are Statistically Learned by Masked Language Models for Code?” Feb. 21, 2024. doi: 10.1145/3639476.3639768.
D. N. Palacio, A. Velasco, D. Rodriguez-Cardenas, K. Moran, and D. Poshyvanyk, “Evaluating and Explaining Large Language Models for Code Using Syntactic Structures.” arXiv, Aug. 07, 2023. doi: 10.48550/arXiv.2308.03873.
J. Hernández-Serrato, A. Velasco, Y. Nifio and M. Linares-Vásquez, “Applying Machine Learning with Chaos Engineering,” 2020 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW), 2020, pp. 151-152, doi: 10.1109/ISSREW51248.2020.00057.
Velasco, A. and Aponte, J. 2020. Automated Fine Grained Traceability Links Recovery between High Level Requirements and Source Code Implementations. ParadigmPlus. 1, 2 (Aug. 2020), 18-41. DOI:https://doi.org/10.55969/paradigmplus.v1n2a2.
Velasco, A., Aponte Melo, J.H. (2019). Recovering Fine Grained Traceability Links Between Software Mandatory Constraints and Source Code. In: Florez, H., Leon, M., Diaz-Nafria, J., Belli, S. (eds) Applied Informatics. ICAI 2019. Communications in Computer and Information Science, vol 1051. Springer, Cham. https://doi.org/10.1007/978-3-030-32475-9_37
D. Delgado, A. Velasco, J. Aponte and A. Marcus, “Evolving a Project-Based Software Engineering Course: A Case Study,” 2017 IEEE 30th Conference on Software Engineering Education and Training (CSEE&T), 2017, pp. 77-86, doi: 10.1109/CSEET.2017.22.