Patent ID: 11893384
Assignee: GOOGLE LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 8:
9. A method for predicting one or more candidate boundaries for incorporation into source code, the method implemented using one or more processors and comprising:
processing one or more boundary-deficient source code files using a machine learning model to predict the one or more candidate boundaries for introduction into the one or more boundary-deficient source code files, wherein the machine learning model comprises an encoder-decoder model that was trained previously using training examples comprising source code with boundaries removed, wherein the removed boundaries were used during training of the machine learning model as labels to determine error(s) and wherein the error(s) was used to train the machine learning model to minimize a loss function associated with the encoder-decoder model; and
providing output indicative of one or more of the predicted candidate boundaries.