Professor Ming Li, professor of Nanjing University, gave a talk entitled "Software Mining: An approach towards intelligent software development" at the invitation of the School of Computer and Electronic Information on Oct. 14, 2021. The academic presentation was hosted by Professor Genlin Ji, Dean of the School of Computer and Electronic Information, and some teachers and graduate students of the school attended the presentation.

 

Ming Li is the professor and deputy dean of the School of Artificial Intelligence at Nanjing University. His major research interests include machine learning and data mining, especially software mining. He has served as the area chair of IEEE ICDM, senior PC member of the premium conferences in artificial intelligence such as IJCAI and AAAI, and PC members for other premium conferences such as KDD, NIPS, ICML, etc., and the chair of the International Workshop on Software Mining. He has served as the associate editor (junior) for Frontiers of Computer Science and editorial board member for the International Journal of Data Warehousing and Mining. He is the executive board member of ACM SIGKDD China Chapter. He has been granted various awards, including the PAKDD Early Career Award, the Excellent Youth Award from NSFC, the New Century Excellent Talents program of the Education Ministry of China, the CCF Distinguished Doctoral Dissertation Award, and Microsoft Fellowship Award, etc.

 

As software systems become larger and more complex, software quality assurance has become particularly important. Professor Li first introduced typical software mining tasks, including using software mining to find software defects before/after software released, using machine learning technology to analyze software code and related data, and summarizing the mainstream software mining technology. Then he shared a series of research results on software mining from multiple perspectives, such as software defect patterns, code structure, and program functions.