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Automated code fix suggestions based on source code syntax tree analysis
AMD manages a very large code base that supports multiple graphics products, operating systems, and customers with multiple releases per year. With a high rate of innovation and corresponding code changes it is a daunting task to ensure a given change works correctly on all applicable configurations for every release. It is therefore imperative to detect potential issues as soon as possible in development lifecycle, and ideally as soon as developers make code changes and where possible also propose a fix for detected issues.
Faculty Supervisor:
Shurui Zhou
Student:
Partner:
AMD Canada
Discipline:
Computer science
Sector:
Manufacturing; Professional, scientific and technical services
University:
University of Toronto
Program:
Accelerate
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