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20232026
most citedWelcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models

19 citations · 49 across the 15 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.SE2023★ 1 cited

Requirements Engineering using Generative AI: Prompts and Prompting Patterns

Krishna Ronanki, Beatriz Cabrero-Daniel, Jennifer Horkoff +1

[Context]: Companies are increasingly recognizing the importance of automating Requirements Engineering (RE) tasks due to their resource-intensive nature. The advent of GenAI has m…

cs.RO2023

Systematic Evaluation of Applying Space-Filling Curves to Automotive Maneuver Detection

Christian Berger, Beatriz Cabrero-Daniel, M. Cagri Kaya +2

Identifying driving maneuvers plays an essential role on-board vehicles to monitor driving and driver states, as well as off-board to train and evaluate machine learning algorithms…

cs.SE2023

ChatGPT as a tool for User Story Quality Evaluation: Trustworthy Out of the Box?

Krishna Ronanki, Beatriz Cabrero-Daniel, Christian Berger

In Agile software development, user stories play a vital role in capturing and conveying end-user needs, prioritizing features, and facilitating communication and collaboration wit…

cs.CY2023★ 13 cited

RE-centric Recommendations for the Development of Trustworthy(er) Autonomous Systems

Krishna Ronanki, Beatriz Cabrero-Daniel, Jennifer Horkoff +1

Complying with the EU AI Act (AIA) guidelines while developing and implementing AI systems will soon be mandatory within the EU. However, practitioners lack actionable instructions…

cs.HC2023★ 14 cited

Perceived Trustworthiness of Natural Language Generators

Beatriz Cabrero-Daniel, Andrea Sanagustín Cabrero

Natural Language Generation tools, such as chatbots that can generate human-like conversational text, are becoming more common both for personal and professional use. However, ther…