A system to flag anomalous source code expressions by learning typical expressions from training data
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Updated
May 30, 2024 - C++
A system to flag anomalous source code expressions by learning typical expressions from training data
A Machine Learning based system to detect semantics in the form of semantic label and suggest optimized alternatives for Python and C++ function-based code snippet.Semantic Detection is language agnostic with accuracy above 95% while optimization with accuracy above 85% for both Python and C++.
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