澳门科技大学资讯科技学院于2018年4月6日在A座301室举办学术研讨会，幷特别邀请了南京大学的黎铭副教授担任本次研讨会的演讲嘉宾。他以《Learning To Locate Software Bugs》为题进行了演讲，资讯科技学院院长张渡教授连同师生20余人出席了研讨会。
Abstract:
Software Systems are becoming larger and more complex, which places a big challenge on software quality assurance because it is almost infeasible to conduct extensive code inspection or testing for every software module. Thus, software systems are usually shipped with bugs. Locating the buggy software modules effectively may help to improve the quality of the software system as well as the productivity of the developers. A plenty of models and approaches have been proposed for locating software bugs. However, some of them may not fully capture the data properties of software. In this talk, we will discuss several attempts to address the problem of locating software bugs from a machine learning perspective, where the properties of software data are carefully considered.
Biography:
Dr. Ming Li is currently an associate professor with the National Key Laboratory of Novel Software Technology, Nanjing University. His major research interests include machine learning and data mining, especially on software mining. He has published over 30 papers on refereed international journals including IEEE Trans. Knowledge and Data Engineering, Automated Software Engineering Journal, Software: Practice & Experience, and top conferences including IJCAI, ICML, etc. He has served as the 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, ACMMM, ICDM, etc., and he is the chair of the 1st – 6th International Workshop on Software Mining. He has served as the associate editor (junior) for Frontiers of Computer Science and editorial board member for 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 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.
