activity
20242026
most citedAutomated Detection of Algorithm Debt in Deep Learning Frameworks: An Empirical Study

3 citations · 3 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CY2026

Reshaping Undergraduate Computer Science Education in the Generative AI Era

Yi-Chieh Lee, Nattapat Boonprakong, Yugin Tan +20

Generative AI represents a turning point for Computer Science (CS) education. In recent decades, post-secondary CS education has largely focused on what has been seen as practical…

cs.PL2025

A Coq implementation of a Theory of Tagged Objects

Matthew Gates, Alex Potanin

We present a first step towards the Coq implementation of the Theory of Tagged Objects formalism. The concept of tagged types is encoded, and the soundness proofs are discussed wit…

cs.SE2024★ 3 cited

Automated Detection of Algorithm Debt in Deep Learning Frameworks: An Empirical Study

Emmanuel Iko-Ojo Simon, Chirath Hettiarachchi, Alex Potanin +2

Context: Previous studies demonstrate that Machine or Deep Learning (ML/DL) models can detect Technical Debt from source code comments called Self-Admitted Technical Debt (SATD). D…

cs.PL2024

Higher-Order Specifications for Deductive Synthesis of Programs with Pointers (Extended Version)

David Young, Ziyi Yang, Ilya Sergey +1

Synthetic Separation Logic (SSL) is a formalism that powers SuSLik, the state-of-the-art approach for the deductive synthesis of provably-correct programs in C-like languages that…

cs.SE2024

Evaluating the Language-Based Security for Plugin Development

Naisheng Liang, Alex Potanin

With the increasing popularity of plugin-based software systems, ensuring the security of plugins has become a critical concern. When users install plugins or browse websites with…

cs.HC2024

Towards improved software visualisation of parameterised REE patterns: Introducing REEkit for geological analysis

Jaxon Kneipp, Alex Potanin, Michael Anenburg

Modern geological studies and mineral exploration techniques rely heavily on being able to digitally visualise and interpret data. Rare earth elements (REEs) are vital for renewabl…