6 citations · 17 across the 12 of their papers we have counts for
12 papers
When Quantum Meets Classical: Characterizing Hybrid Quantum-Classical Issues Discussed in Developer Forums
Jake Zappin, Trevor Stalnaker, Oscar Chaparro +1
Recent advances in quantum computing have sparked excitement that this new computing paradigm could solve previously intractable problems. However, due to the faulty nature of curr…
Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We?
Conor O'Brien, Daniel Rodriguez-Cardenas, Alejandro Velasco +2
The adoption of Large Language Models (LLMs) across multiple contexts has sparked interest in understanding how scaling model size might lead to behavioral changes, as LLMs can exh…
Semantic GUI Scene Learning and Video Alignment for Detecting Duplicate Video-based Bug Reports
Yanfu Yan, Nathan Cooper, Oscar Chaparro +2
Video-based bug reports are increasingly being used to document bugs for programs centered around a graphical user interface (GUI). However, developing automated techniques to mana…
"The Law Doesn't Work Like a Computer": Exploring Software Licensing Issues Faced by Legal Practitioners
Nathan Wintersgill, Trevor Stalnaker, Laura A. Heymann +2
Most modern software products incorporate open source components, which requires compliance with each component's licenses. As noncompliance can lead to significant repercussions,…
Which Syntactic Capabilities Are Statistically Learned by Masked Language Models for Code?
Alejandro Velasco, David N. Palacio, Daniel Rodriguez-Cardenas +1
This paper discusses the limitations of evaluating Masked Language Models (MLMs) in code completion tasks. We highlight that relying on accuracy-based measurements may lead to an o…
ACER: An AST-based Call Graph Generator Framework
Andrew Chen, Yanfu Yan, Denys Poshyvanyk
We introduce ACER, an AST-based call graph generator framework. ACER leverages tree-sitter to interface with any language. We opted to focus on generators that operate on abstract…