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IDE Assisted Learning

Source code is one of the least understood form of text. Even creation of a search criteria for finding source code that would satisfy specific need of software developer is very challenging. However, in practice software developers frequently search for reusable code and frameworks. Searching for code is still an unresolved problem where traditional regular expression search fails.

IDEAL proposes:

  • Leverage Deep Learning to uncover interactions and change intelligence on historic changes – cross linked to issue/defect, stories, and production /release incidents.
  • New algorithms and methods for effective searching for reusable code and associated expertise.

Project Team