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Electronic Arts Software Bug De-Duplication

Type on Screen

The goal of this project is to develop deep-learning based algorithms for identifying near-duplicates in a large collection of bug reports. Project tasks will consist of the following:

  • Providing expert advice on the best deep-learning approaches to use for solving EA’s bug de-duplication problem.
  • Designing, testing, and evaluating deep-learning algorithms to solve the bug deduplication problem, more precisely:
  • Supervising a Queen’s Masters Student (hereafter called “the student”) to work on this problem.
  • Co-author publications with NRC personnel and the student.