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Seminar abstract

Improving Software Reliability via Mining Software Engineering Data

Tao Xie
Associate Professor
North Carolina State University

Abstract: Since late 90's, various data mining techniques have been applied to analyze software engineering data, and have achieved many noticeable successes in improving software reliability. Substantial experience, development, and lessons of data mining for software engineering pose interesting challenges and opportunities for new research and development. This talk will present our recent research projects on mining software engineering data for improving software reliability. In these research projects, we follow a problem-driven methodology in advancing the field of mining software engineering data. More specifically, in our approaches, we empirically investigate problems in the software engineering domain and identify required types of patterns for addressing those problems. We further develop new mining algorithms for mining these required types of patterns, rather than being constrained by available mining algorithms from the data mining community. These approaches were previously published at ICSE 2009, ASE 2009, and ICSE 2008.

Short-Biography: Tao Xies is an Associate Professor in the Department of Computer Science at North Carolina State University. He received his Ph.D. in Computer Science from the University of Washington in 2005, an M.S. in Computer Science from Peking University in 2000, and a B.S. in Computer Science from Fudan University in 1997. He worked as a visiting researcher at Microsoft Research Redmond and Microsoft Research Asia. His research interests are in software engineering, with a focus on improving software reliability and dependability, including software testing and analysis and software analytics. He has served as the ACM SIGSOFT History Liaison in the SIGSOFT Executive Committee as well as a member of the ACM History Committee. He is an ACM Distinguished Speaker and an IEEE Computer Society Distinguished Visitor. He received a National Science Foundation Faculty Early Career Development (CAREER) Award in 2009. He received a 2011 Microsoft Research Software Engineering Innovation Foundation (SEIF) Award, 2008, 2009, and 2010 IBM Faculty Awards, and a 2008 IBM Jazz Innovation Award. He was Program Co-Chair of 2009 IEEE International Conference on Software Maintenance (ICSM) and is Program Co-Chair of 2011 and 2012 International Working Conference on Mining Software Repositories (MSR). URL:
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