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UID:20250312T165426EDT-3902KWlUbH@132.216.98.100
DTSTAMP:20250312T205426Z
DESCRIPTION:Large-scale code mining and analysis for software quality.\n\nW
 e live in the world with data science that helps discover knowledge and in
 sights from data in various forms to guide our daily activities. For softw
 are\, ultra-large-scale software repositories contain enormous wealth of k
 nowledge on software development. In this talk\, I will present our resear
 ch that develops advanced program analysis and large-scale code mining met
 hods to support software developers in the development process. I will pre
 sent Boa\, a virtual collaborative infrastructure for research that analyz
 es software and its evolution at a large scale. Then\, I will present inte
 grated approaches that explore the infrastructure to leverage large-scale 
 code mining and program analysis in supporting important software engineer
 ing tasks including software specification inference\, code migration\, an
 d code recommendation.\n
DTSTART:20161103T193000Z
DTEND:20161103T203000Z
LOCATION:Room 3195\, CA\, QC\, Montreal\, H3T 1J4\, Pavillon André-Aisensta
 dt\, 2920\, Chemin de la tour\, 5th floor
SUMMARY:Tien N. Nguyen\, University of Texas at Dallas
URL:/mathstat/channels/event/tien-n-nguyen-university-
 texas-dallas-263860
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