6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.AI2024
GoNoGo: An Efficient LLM-based Multi-Agent System for Streamlining Automotive Software Release Decision-Making
Arsham Gholamzadeh Khoee, Yinan Yu, Robert Feldt +3
Traditional methods for making software deployment decisions in the automotive industry typically rely on manual analysis of tabular software test data. These methods often lead to…
cs.SE2022★ 6 cited
Measuring design compliance using neural language models -- an automotive case study
Dhasarathy Parthasarathy, Cecilia Ekelin, Anjali Karri +2
As the modern vehicle becomes more software-defined, it is beginning to take significant effort to avoid serious regression in software design. This is because automotive software…