Xiaoning Du

Xiaoning’s contributions to DeepStellar and BigCodeBench give researchers and engineers ways to examine deep-learning behaviour and assess AI-generated code. DeepStellar supports analysis of systems that retain information across inputs, while BigCodeBench tests code generation with complex instructions and varied function calls. Course leadership, research supervision and editorial service also contribute to the people and shared standards behind software quality.

Xiaoning Du is an ARC DECRA Fellow, Senior Lecturer, and Course Director for Software Engineering at Monash University in Melbourne. Holding a PhD from Nanyang Technological University and a bachelor’s degree from Fudan University, Xiaoning works at the intersection of software engineering and artificial intelligence, concentrating on the testing and quality assurance of deep-learning systems.

Key contributions include DeepStellar, which enables model-based analysis and systematic testing of stateful deep-learning systems. Xiaoning also contributed to BigCodeBench, a benchmark designed to evaluate code generation against complex instructions and diverse function calls, helping engineers assess learning systems and verify AI-generated code.

In addition to academic leadership, Xiaoning reviews widely for major software engineering conferences and journals, and has served as an associate editor of ACM Transactions on Software Engineering and Methodology since July 2025. Accolades include the 2024 Google Research Scholar Award in Software Engineering alongside ACM SIGSOFT Distinguished Paper Awards at ISSTA 2024 and ICSE 2026.