59 citations · 117 across the 8 of their papers we have counts for
9 papers
Fine-Grained Emotion Classification from Mobile App Reviews: An Empirical Study with Large Language Models
Quim Motger, Carlota Catot, Marc Oriol
Context: Fine-grained emotion classification of mobile app reviews enables requirements engineering activities that go beyond polarity-based opinion mining, including emotionally i…
Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges
Quim Motger, Marc Oriol, Jordi Marco +1
Multi-Agent Debate (MAD) is a promising paradigm for improving the accuracy and robustness of Large Language Model (LLM)-based agentic systems. It enables multiple agents to exchan…
Multi-Agent Debate Strategies to Enhance Requirements Engineering with Large Language Models
Marc Oriol, Quim Motger, Jordi Marco +1
Context: Large Language Model (LLM) agents are becoming widely used for various Requirements Engineering (RE) tasks. Research on improving their accuracy mainly focuses on prompt e…
What About Emotions? Guiding Fine-Grained Emotion Extraction from Mobile App Reviews
Quim Motger, Marc Oriol, Max Tiessler +2
Opinion mining plays a vital role in analysing user feedback and extracting insights from textual data. While most research focuses on sentiment polarity (e.g., positive, negative,…
Software Engineering for AI-Based Systems: A Survey
Silverio Martínez-Fernández, Justus Bogner, Xavier Franch +5
AI-based systems are software systems with functionalities enabled by at least one AI component (e.g., for image- and speech-recognition, and autonomous driving). AI-based systems…
How do Practitioners Perceive the Relevance of Requirements Engineering Research?
Xavier Franch, Daniel Mendez, Andreas Vogelsang +6
The relevance of Requirements Engineering (RE) research to practitioners is vital for a long-term dissemination of research results to everyday practice. Some authors have speculat…
Developing and Operating Artificial Intelligence Models in Trustworthy Autonomous Systems
Silverio Martínez-Fernández, Xavier Franch, Andreas Jedlitschka +2
Companies dealing with Artificial Intelligence (AI) models in Autonomous Systems (AS) face several problems, such as users' lack of trust in adverse or unknown conditions, gaps bet…
How do Practitioners Perceive the Relevance of Requirements Engineering Research? An Ongoing Study
X. Franch, D. Méndez Fernández, M. Oriol +7
The relevance of Requirements Engineering (RE) research to practitioners is a prerequisite for problem-driven research in the area and key for a long-term dissemination of research…
WeSSQoS: A Configurable SOA System for Quality-aware Web Service Selection
Oscar Cabrera, Marc Oriol, Xavier Franch +4
Web Services (WS) have become one the most used technologies nowadays in software systems. Among the challenges when integrating WS in a given system, requirements-driven selection…