98 citations · 201 across the 13 of their papers we have counts for
14 papers
Enhancing Code Understanding for Impact Analysis by Combining Transformers and Program Dependence Graphs
Yanfu Yan, Nathan Cooper, Kevin Moran +3
Impact analysis (IA) is a critical software maintenance task that identifies the effects of a given set of code changes on a larger software project with the intention of avoiding…
On the Generalizability of Transformer Models to Code Completions of Different Lengths
Nathan Cooper, Rosalia Tufano, Gabriele Bavota +1
The programming landscape is nowadays being reshaped by the advent of Large Language Models (LLMs) able to automate code-related tasks related to code implementation (e.g., code co…
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…
MASC: A Tool for Mutation-Based Evaluation of Static Crypto-API Misuse Detectors
Amit Seal Ami, Syed Yusuf Ahmed, Radowan Mahmud Redoy +5
While software engineers are optimistically adopting crypto-API misuse detectors (or crypto-detectors) in their software development cycles, this momentum must be accompanied by a…
Toward a Theory of Causation for Interpreting Neural Code Models
David N. Palacio, Alejandro Velasco, Nathan Cooper +3
Neural Language Models of Code, or Neural Code Models (NCMs), are rapidly progressing from research prototypes to commercial developer tools. As such, understanding the capabilitie…
Translating Video Recordings of Complex Mobile App UI Gestures into Replayable Scenarios
Carlos Bernal-Cárdenas, Nathan Cooper, Madeleine Havranek +4
Screen recordings of mobile applications are easy to obtain and capture a wealth of information pertinent to software developers (e.g., bugs or feature requests), making them a pop…