Patent ID: 11893385
Assignee: OPEN WEAVER INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 13:
14. The method of claim 11, further comprising training the function documentation neural network model using a set of training source code files and associated documentation, wherein the training comprises:
parsing logic based on a language of the training source code files;
evaluating a function of the training source code files and the associated documentation relative to predetermined quality standards comprising at least one of a number of lines of code in the function, a number and type of arguments to the function, a number of lines of documentation for the function, semantic quality of provided documentation for the function, a date at which a corresponding training source code file was most recently updated, and code complexity scores;
synthesizing the associated documentation by paraphrasing and replacing variable names within the function to reduce bias in predictions of the function documentation neural network model; and
encoding training data and executing a machine learning algorithm to train the function documentation neural network model.