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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Automated software testing and debugging with/without LLMs Primary supervisor Yongqiang Tian Research
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action in a software project. Furthermore, the refined LLMs will prove valuable in assisting with writing documentation throughout the software development journey. Required knowledge Software engineering
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knowledge program analysis, fuzzing, software testing, natural language processing
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testing code, and learning from feedback. 🔍 Research Objectives Design an Agentic SWE Framework Model an AI system that combines reasoning, planning, and self-correction for software engineering tasks
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Generative AI NLP skills System security Software testing To be eligible you must have: A first-class honours (H1) Bachelor’s degree or equivalent in the relevant research area (completed or near
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, Alice has no choice but to give away her highly sensitive information. A more ideal solution is to use a PET tool to provide Alice a way to (cryptographically)Â prove to SerPro that she is eligible
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Testing AI/LLM systems Primary supervisor Yongqiang Tian Research area Software Engineering In
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-route tasks to maintain uninterrupted service. This research area involves developing fault-tolerant systems that adapt to hardware and software failures. Students will work on predictive maintenance and
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testing approaches that can be used to verify that machine learning models are not biased. Required knowledge Software engineering, software testing, statistics, machine learning
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-powered tools for SE/PL, including program analysis, automated repair, and software testing is sought. Appointees will bring strong technical capability to collaborate with related groups in cybersecurity