19 citations · 49 across the 15 of their papers we have counts for
16 papers
Recommendations for Efficient and Responsible LLM Adoption within Industrial Software Development
Krishna Ronanki, Beatriz Cabrero-Daniel, Tomas Herda +3
Context: Large language models (LLMs) are observed to have a significant positive impact on various software engineering (SE) activities. With improved accessibility, the adoption…
PCICF: A Pedestrian Crossing Identification and Classification Framework
Junyi Gu, Beatriz Cabrero-Daniel, Ali Nouri +2
We have recently observed the commercial roll-out of robotaxis in various countries. They are deployed within an operational design domain (ODD) on specific routes and environmenta…
The DevSafeOps Dilemma: A Systematic Literature Review on Rapidity in Safe Autonomous Driving Development and Operation
Ali Nouri, Beatriz Cabrero-Daniel, Fredrik Törner +1
Developing autonomous driving (AD) systems is challenging due to the complexity of the systems and the need to assure their safe and reliable operation. The widely adopted approach…
Large Language Models in Code Co-generation for Safe Autonomous Vehicles
Ali Nouri, Beatriz Cabrero-Daniel, Zhennan Fei +3
Software engineers in various industrial domains are already using Large Language Models (LLMs) to accelerate the process of implementing parts of software systems. When considerin…
On Simulation-Guided LLM-based Code Generation for Safe Autonomous Driving Software
Ali Nouri, Johan Andersson, Kailash De Jesus Hornig +5
Automated Driving System (ADS) is a safety-critical software system responsible for the interpretation of the vehicle's environment and making decisions accordingly. The unbounded…
LLMs Can Check Their Own Results to Mitigate Hallucinations in Traffic Understanding Tasks
Malsha Ashani Mahawatta Dona, Beatriz Cabrero-Daniel, Yinan Yu +1
Today's Large Language Models (LLMs) have showcased exemplary capabilities, ranging from simple text generation to advanced image processing. Such models are currently being explor…
Tapping in a Remote Vehicle's onboard LLM to Complement the Ego Vehicle's Field-of-View
Malsha Ashani Mahawatta Dona, Beatriz Cabrero-Daniel, Yinan Yu +1
Today's advanced automotive systems are turning into intelligent Cyber-Physical Systems (CPS), bringing computational intelligence to their cyber-physical context. Such systems pow…
Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks
Malsha Ashani Mahawatta Dona, Beatriz Cabrero-Daniel, Yinan Yu +1
Today's advanced driver assistance systems (ADAS), like adaptive cruise control or rear collision warning, are finding broader adoption across vehicle classes. Integrating such adv…
Engineering Safety Requirements for Autonomous Driving with Large Language Models
Ali Nouri, Beatriz Cabrero-Daniel, Fredrik Törner +2
Changes and updates in the requirement artifacts, which can be frequent in the automotive domain, are a challenge for SafetyOps. Large Language Models (LLMs), with their impressive…
Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models
Ali Nouri, Beatriz Cabrero-Daniel, Fredrik Törner +2
DevOps is a necessity in many industries, including the development of Autonomous Vehicles. In those settings, there are iterative activities that reduce the speed of SafetyOps cyc…
Prompt Smells: An Omen for Undesirable Generative AI Outputs
Krishna Ronanki, Beatriz Cabrero-Daniel, Christian Berger
Recent Generative Artificial Intelligence (GenAI) trends focus on various applications, including creating stories, illustrations, poems, articles, computer code, music composition…
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…
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…
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…
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…
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…