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Ontario Tech acknowledges the lands and people of the Mississaugas of Scugog Island First Nation.

We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

Learn more about Indigenous Education and Cultural Services

November 23, 2011

Speaker: Dr. Lin Tan, Assistant Professor, Department of Electrical and Computer Engineering, University of Waterloo

Title: Fighting Software Bugs Through Automatic Text Analytics

Abstract: Software bugs greatly hurt software reliability. In this talk, I will present our recent research on leveraging software textual information in program comments, source code and bug reports to automatically detect and fix software bugs as well as understand software developers. iComment and aComment automatically extract specifications from source code and code comments written in a natural language, and use these specifications to detect comment-code inconsistencies, i.e., software bugs and bad comments. R2Fix automatically generates bug-fixing patches from bug reports written free-form in a natural language. We show that it is feasible to automatically analyze free-form comments and bug reports to automatically detect and fix software bug.

Biography: Lin Tan is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. Tan received her PhD in Computer Science from the University of Illinois, Urbana-Champaign. Her research interests include software reliability and security with a focus on applying natural language processing and machine learning techniques to improve software systems reliability.