397 citations · 1.8k across the 51 of their papers we have counts for
9 papers · 1 filter
BOMs Away! Inside the Minds of Stakeholders: A Comprehensive Study of Bills of Materials for Software Systems
Trevor Stalnaker, Nathan Wintersgill, Oscar Chaparro +3
Software Bills of Materials (SBOMs) have emerged as tools to facilitate the management of software dependencies, vulnerabilities, licenses, and the supply chain. While significant…
Benchmarking Causal Study to Interpret Large Language Models for Source Code
Daniel Rodriguez-Cardenas, David N. Palacio, Dipin Khati +2
One of the most common solutions adopted by software researchers to address code generation is by training Large Language Models (LLMs) on massive amounts of source code. Although…
Helion: Enabling Natural Testing of Smart Homes
Prianka Mandal, Sunil Manandhar, Kaushal Kafle +3
Prior work has developed numerous systems that test the security and safety of smart homes. For these systems to be applicable in practice, it is necessary to test them with realis…
Evaluating and Explaining Large Language Models for Code Using Syntactic Structures
David N Palacio, Alejandro Velasco, Daniel Rodriguez-Cardenas +2
Large Language Models (LLMs) for code are a family of high-parameter, transformer-based neural networks pre-trained on massive datasets of both natural and programming languages. T…
"False negative -- that one is going to kill you": Understanding Industry Perspectives of Static Analysis based Security Testing
Amit Seal Ami, Kevin Moran, Denys Poshyvanyk +1
The demand for automated security analysis techniques, such as static analysis based security testing (SAST) tools continues to increase. To develop SASTs that are effectively leve…
BURT: A Chatbot for Interactive Bug Reporting
Yang Song, Junayed Mahmud, Nadeeshan De Silva +5
This paper introduces BURT, a web-based chatbot for interactive reporting of Android app bugs. BURT is designed to assist Android app end-users in reporting high-quality defect inf…
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…
An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation
Kevin Moran, Ali Yachnes, George Purnell +5
Existing automated techniques for software documentation typically attempt to reason between two main sources of information: code and natural language. However, this reasoning pro…
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…