Towards demystifying dimensions of source code embeddings
Towards demystifying dimensions of source code embeddings is a scholarly work, published in 2020. The main subjects of the publication include lock, test automation, machine learning, artificial intelligence, code, binary code, software engineering, computer science, Android, deep learning, binary numeral system, artificial neural network, source code, and theoretical computer science. The authors present the authors' preliminary results towards better understanding the contents of code2vec neural source code embeddings.