Reshaping Requirements Engineering in the AI Era

Speaker

Dr. Zhenchang Xing, Data61 CSIRO

Abstract

AI is reshaping requirements engineering (RE). This talk argues that neither traditional RE nor emergent LLM-only, spec-driven workflows deliver the rigor and value systems demand. I present an AI-native method that fuses neural reasoning with symbolic engineering to keep human intent central, generate diverse yet verifiable user stories, and iteratively refine product scope with evidence. Using cause-effect graphs, Gherkin revisions, and Kano analysis, the approach exposes ambiguity, enforces clear “done” criteria, and trims feature creep by prioritizing user satisfaction. A short demo will showcase our tool for user requirements generation and analysis, illustrating how neuro-symbolic synergy elevates RE practice.

Bio

Dr. Zhenchang Xing is a Senior Principal Research Scientist and Science Lead in the Software Systems group at CSIRO’s Data61. Prior to joining Data61, he was an Associate Professor at Australian National University. His research interests include software engineering, responsible AI, and human-computer interaction.