From the 2 of 4 linked papers with an AI index.
4 papers
Analyzing Curricular Pattern Complexity Using AI to Improve On-Time Graduation Rates
Lynn Vonderhaar, Juan Couder, Siri Siqveland +2
The paper applies large language models to automatically analyze and revise undergraduate software engineering curricula, aiming to reduce bottlenecks and improve on‑time graduatio…
WIP: Software Engineering Competencies in the Age of AI
Lynn Vonderhaar, Massood Towhidnejad, Omar Ochoa
The paper reviews industry literature on AI usage to justify adding two new AI-related competencies—AI Literacy and AI Development—to the Software Engineering Competency Model, and…
Verifying Machine Learning Interpretability Requirements through Provenance
Lynn Vonderhaar, Juan Couder, Daryela Cisneros +1
Machine Learning (ML) Engineering is a growing field that necessitates an increase in the rigor of ML development. It draws many ideas from software engineering and more specifical…
Embedding Provenance in Computer Vision Datasets with JSON-LD
Lynn Vonderhaar, Timothy Elvira, Tyler Thomas Procko +1
With the ubiquity of computer vision in industry, the importance of image provenance is becoming more apparent. Provenance provides information about the origin and derivation of s…