2 citations · 5 across the 8 of their papers we have counts for
8 papers
Report on the Designing Accountable Software Systems Workshop
Catherine Albiston, Travis Breaux, Kat Dearstyne +13
The Workshop on Designing Accountable Software Systems (DASS) was convened in November 2024 with support from the U.S. National Science Foundation to engage a wide range of current…
Evaluating Reinforcement Learning Safety and Trustworthiness in Cyber-Physical Systems
Katherine Dearstyne, Pedro, Alarcon Granadeno +2
Cyber-Physical Systems (CPS) often leverage Reinforcement Learning (RL) techniques to adapt dynamically to changing environments and optimize performance. However, it is challengin…
ROOT: Requirements Organization and Optimization Tool
Katherine R. Dearstyne, Alberto D. Rodriguez, Jane Cleland-Huang
Software engineering practices such as constructing requirements and establishing traceability help ensure systems are safe, reliable, and maintainable. However, they can be resour…
Supporting Software Maintenance with Dynamically Generated Document Hierarchies
Katherine R. Dearstyne, Alberto D. Rodriguez, Jane Cleland-Huang
Software documentation supports a broad set of software maintenance tasks; however, creating and maintaining high-quality, multi-level software documentation can be incredibly time…
Prompts Matter: Insights and Strategies for Prompt Engineering in Automated Software Traceability
Alberto D. Rodriguez, Katherine R. Dearstyne, Jane Cleland-Huang
Large Language Models (LLMs) have the potential to revolutionize automated traceability by overcoming the challenges faced by previous methods and introducing new possibilities. Ho…
Understanding the Challenges of Deploying Live-Traceability Solutions
Alberto D. Rodriguez, Katherine R. Dearstyne, Jane Cleland-Huang
Software traceability is the process of establishing and maintaining relationships between artifacts in a software system. This process is crucial to many engineering processes, pa…
Leveraging Human Salience to Improve Calorie Estimation
Katherine R. Dearstyne, Alberto D. Rodriguez
The following paper investigates the effectiveness of incorporating human salience into the task of calorie prediction from images of food. We observe a 32.2% relative improvement…
MEWS: Real-time Social Media Manipulation Detection and Analysis
Trenton W. Ford, William Theisen, Michael Yankoski +4
This article presents a beta-version of MEWS (Misinformation Early Warning System). It describes the various aspects of the ingestion, manipulation detection, and graphing algorith…