Rate My Professor Chetan Arora

Arora's research focuses on software engineering, requirements engineering, software quality assurance, and applied artificial intelligence, including natural language processing, machine learning, responsible and trustworthy AI-driven systems, and compliance in software development across domains such as satellite communications, Internet of Things, healthcare, finance, and legal information systems. He has garnered significant recognition, including the ACM SIGSOFT Distinguished Paper Award at the 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems (MobileSoft@ICSE 2022), Best Paper Awards at the 27th IEEE International Requirements Engineering Conference (RE 2019) and IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2020), Best Demo Award at the 23rd IEEE International Conference on Mobile Data Management (MDM 2022), and multiple grants as Chief or Associate Investigator, such as the RAISE project on responsible AI software engineering capability and the Australian Summer School in Software Engineering (OzSE 2026). Notable publications include 'Ethical concerns of generative AI and mitigation strategies: A systematic mapping study' (Applied Soft Computing, 2026), 'Enhancing large language models for text-to-testcase generation' (Journal of Systems and Software, 2025), 'Efficient Shortest Path Computation for Electric Vehicles in Time-Dependent Networks' (Australasian Database Conference, 2024), 'Are Problem-Solving Assessments More Effective for Evaluating Learning in Computing Engineering Education?' (2025), and 'Enhancing Engagement and Learning in Computing Education: Automated Moodle-Based Problem-Solving Assessments' (2025). With over 3,000 citations, his contributions bridge theory and practice, influencing industry-adopted research outcomes and PhD supervision in requirements engineering and AI testing.