Generalized Microscropic Crowd Simulation using Costs in Velocity Space. - Wouter van Toll; Fabien Grzeskowiak; Axel López-Gandía; Javad Amirian; Florian Berton; Julien Bruneau 002; Beatriz Cabrero Daniel; Alberto Jovane; Julien Pettré (I3D, 2020)

A Perceptually-Validated Metric for Crowd Trajectory Quality Evaluation. - Beatriz Cabrero Daniel; Ricardo Marques; Ludovic Hoyet; Julien Pettré; Josep Blat (Proc. ACM Comput. Graph. Interact. Tech., 2021)

Dynamic Combination of Crowd Steering Policies Based on Context. - Beatriz Cabrero Daniel; Ricardo Marques; Ludovic Hoyet; Julien Pettré; Josep Blat (Comput. Graph. Forum, 2022)

Automating crowd simulation: from parameter tuning to dynamic context-to-policy adaptation. - Beatriz Cabrero Daniel (2022)

Systematic Evaluation of Applying Space-Filling Curves to Automotive Maneuver Detection. - Christian Berger 001; Beatriz Cabrero Daniel; M. Cagri Kaya; Maryam Esmaeili Darestani; Hannah Shiels (ITSC, 2023)

Trustworthy "blackbox" Self-Adaptive Systems. - Beatriz Cabrero Daniel; Yasamin Fazelidehkordi; Olga Ratushniak (REFSQ Workshops, 2023)

Perceived Trustworthiness of Natural Language Generators. - Beatriz Cabrero Daniel; Andrea Sanagustín Cabrero (TAS, 2023)

RE-centric Recommendations for the Development of Trustworthy(er) Autonomous Systems. - Krishna Ronanki; Beatriz Cabrero Daniel; Jennifer Horkoff; Christian Berger 001 (TAS, 2023)

ChatGPT as a Tool for User Story Quality Evaluation: Trustworthy Out of the Box? - Krishna Ronanki; Beatriz Cabrero Daniel; Christian Berger 001 (XP Workshops, 2023)

AI for Agile development: a Meta-Analysis. - Beatriz Cabrero Daniel (CoRR, 2023)

A Shift In Artistic Practices through Artificial Intelligence. - Kivanç Tatar; Petter Ericson; Kelsey Cotton; Paola Torres Núñez del Prado; Roser Batlle-Roca; Beatriz Cabrero Daniel; Sara Ljungblad; Georgios Diapoulis; Jabbar Hussain (CoRR, 2023)

Generative Artificial Intelligence for Software Engineering - A Research Agenda. - Anh Nguyen-Duc 001; Beatriz Cabrero Daniel; Adam Przybylek; Chetan Arora 002; Dron Khanna; Tomas Herda; Usman Rafiq; Jorge Melegati; Eduardo Guerra 001; Kai-Kristian Kemell; Mika Saari; Zheying Zhang; et al. (CoRR, 2023)

Requirements Engineering using Generative AI: Prompts and Prompting Patterns. - Krishna Ronanki; Beatriz Cabrero Daniel; Jennifer Horkoff; Christian Berger 001 (CoRR, 2023)

Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models. - Ali Nouri; Beatriz Cabrero Daniel; Fredrik Törner; Håkan Sivencrona; Christian Berger 001 (CAIN, 2024)

Prompt Smells: An Omen for Undesirable Generative AI Outputs. - Krishna Ronanki; Beatriz Cabrero Daniel; Christian Berger 001 (CAIN, 2024)

Designing Digital Twins for Enhanced Reusability. - Olga Ratushniak; Beatriz Cabrero Daniel (ICSE Companion, 2024)

Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks. - Malsha Ashani Mahawatta Dona; Beatriz Cabrero Daniel; Yinan Yu; Christian Berger 001 (ITSC, 2024)

Digital Twins for Early Verification and Validation of Autonomous Driving Features: Open-source Tools and Standard Formats. - Beatriz Cabrero Daniel; Ahmed Yasser Abdelkarim; Axel Broberg (IV, 2024)

LLMs Can Check Their Own Results to Mitigate Hallucinations in Traffic Understanding Tasks. - Malsha Ashani Mahawatta Dona; Beatriz Cabrero Daniel; Yinan Yu; Christian Berger 001 (ICTSS, 2024)

Automating Requirements Review in the Automotive Sector: A Tailored AI Approach. - Sivajeet Chand; Chang Li; Cristina Martinez Montes; Beatriz Cabrero Daniel; Jennifer Horkoff (RE, 2024)

Engineering Safety Requirements for Autonomous Driving with Large Language Models. - Ali Nouri; Beatriz Cabrero Daniel; Fredrik Törner; Håkan Sivencrona; Christian Berger 001 (RE, 2024)

Exploring Human-AI Collaboration in Agile: Customised LLM Meeting Assistants. - Beatriz Cabrero Daniel; Tomas Herda; Victoria Pichler; Martin Eder (XP, 2024)

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; Christian Berger 001 (CoRR, 2024)

Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto. - Daniel Russo 002; Sebastian Baltes; Niels van Berkel; Paris Avgeriou; Fabio Calefato; Beatriz Cabrero Daniel; Gemma Catolino; Jürgen Cito; Neil A. Ernst; Thomas Fritz 001; Hideaki Hata; Reid Holmes; et al. (J. Syst. Softw., 2024)

How reliance on GenAI might limit human creativity and critical thinking in Requirements Engineering. - Beatriz Cabrero Daniel (REFSQ Workshops, 2025)

The DevSafeOps dilemma: A systematic literature review on rapidity in safe autonomous driving development and operation. - Ali Nouri; Beatriz Cabrero Daniel; Fredrik Törner; Christian Berger 001 (J. Syst. Softw., 2025)

On Simulation-Guided LLM-based Code Generation for Safe Autonomous Driving Software. - Ali Nouri; Johan Andersson; Kailash De Jesus Hornig; Zhennan Fei; Emil Knabe; Håkan Sivencrona; Beatriz Cabrero Daniel; Christian Berger 001 (CoRR, 2025)

Large Language Models in Code Co-generation for Safe Autonomous Vehicles. - Ali Nouri; Beatriz Cabrero Daniel; Zhennan Fei; Krishna Ronanki; Håkan Sivencrona; Christian Berger 001 (CoRR, 2025)

BetterCheck: Towards Safeguarding VLMs for Automotive Perception Systems. - Malsha Ashani Mahawatta Dona; Beatriz Cabrero Daniel; Yinan Yu; Christian Berger 001 (CoRR, 2025)