Queen's School of Computing Poster: http://research.cs.queensu.ca/calendar/shang.pdf

Title: Log Intelligence: Supporting Logging Decisions Using Development Knowledge

Weiyi Shang is an assistant professor in the Department of Computer Science and Software Engineering at Concordia University, Montreal. He has received his Ph.D. and M.Sc. degrees from Queen’s University (Canada) and he obtained B.Eng. from Harbin Institute of Technology. His research interests include big data software engineering, software engineering for ultra-large­scale systems, software log mining, empirical software engineering, and software performance engineering. His work has been published at premier venues such as ICSE, FSE, ASE, ICSME, MSR and WCRE, as well as in major journals such as TSE, EMSE, JSS, JSEP and SCP. His work has won premium awards, such as SIGSOFT Distinguished paper award at ICSE 2013 and best paper award at WCRE 2011. His industrial experience includes helping improve quality and performance of ultra-large-scale systems in BlackBerry. Early tools and techniques developed by him are already integrated into products used by millions of users worldwide. Contact him at shang@encs.concordia.ca; http://research.cs.queensu.ca/calendar/shang.pdf