Charlotte Hug

Papers

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About

Charlotte Hug is a researcher whose work sits at the intersection of software engineering, requirements engineering, and process mining. Her primary research focus is on the emerging field of intention mining, where she has made foundational contributions by developing frameworks to systematically analyze and compare different approaches for extracting user intentions from system interactions. Her most-cited work, "A Framework for Comparative Analysis of Intention Mining Approaches" (2021), provides a structured taxonomy and evaluation criteria that has become a reference point for researchers exploring how to model and predict user goals in interactive systems. This framework enables more rigorous comparison of intention mining techniques, helping to advance both the theoretical understanding and practical application of the field. Hug’s work is particularly relevant for improving user experience, adaptive systems, and requirements elicitation. With her research gaining traction in the software engineering community, she is establishing herself as a key voice in the methodological development of intention mining, laying the groundwork for more intelligent, user-aware systems.