报告名称:Frontiers in Intelligent Software Data Analytics: An Initial Exploration
报告时间:7月29日15:00
报告地点:滴水湖国际软件学院502室
报告摘要:
Intelligent Software Data Analytics has long been a focal research topic in software engineering. With the emergence of new AI technologies such as deep learning and large language models (LLMs), these intelligent analysis methods have demonstrated promising results in data analytics tasks across software development and testing processes. However, they also present significant challenges. Our research has evolved from traditional information retrieval and machine learning-based approaches to leveraging advanced techniques like deep learning and LLMs. We have proposed solutions for various software engineering and security challenges, including code search, defect localization, priority prediction, malware detection, and smart contract vulnerability detection, among others. Additionally, we have developed a suite of supporting tools. While these tools have achieved performance improvements in their respective tasks, they have also prompted deeper reflections, such as "Are large models truly a panacea?"—and provided valuable insights for our future work.
报告人简介:
Prof. Tao ZHANG is a full professor at the School of Computer Science and Engineering, Macau University of Science and Technology. He is a senior member of ACM, IEEE, and CCF. Prof. Zhang is the Founding Chair of the IEEE Computer Society Macau Chapter and serves as the Conference Chair (Paper Award) for IEEE TCSE. His primary research interests include intelligent software data analytics and software security. To date, Prof. Zhang has published over 100 papers in top-tier journals and conferences in software engineering and information security. He serves on the editorial boards of several prestigious journals, including IEEE Transactions on Software Engineering, Empirical Software Engineering, and Journal of Systems and Software. He has also held key leadership roles in major international conferences, such as General Chair of APSEC 2025 and SANER 2023, and Program Committee Chair of Internetware 2024 and DSA 2021. He also regularly serves as a PC Member of the top-tier conferences (ICSE, FSE, ASE, and ISSTA) in software engineering. Prof. Zhang has led multiple research projects funded by the National Natural Science Foundation of China (NSFC) and the Macau Science and Technology Development Fund (FDCT).