Error assignment for computer programs

1. A computer implemented method, comprising:

receiving an error message indicating error that occurred during execution of a computer program, wherein the error message includes a sequence of execution paths of the computer program;

extracting a plurality of token sequences in the error message, wherein each token sequence includes a sequence of token identifiers identified from the execution paths of the error message;

generating an output by applying a neural network model to the extracted plurality of token sequences;

determining an assignment for the error indicated by the error message based on the output of the neural network model; and

providing the error message and corresponding error assignment record to a user associated with the assignment.

2. The computer implemented method of claim 1 , wherein each execution path from the sequence of execution paths represents a function call active in computer memory when the error was generated.

3. The computer implemented method of claim 1 , further comprising encoding each token identifier from the plurality of token sequences into a one-hot encoded vector.

4. The computer implemented method of claim 1 , wherein each token sequence in the plurality of token sequences includes token identifiers corresponding to a same programming element type.

5. The computer implemented method of claim 4 , wherein each token sequence includes token identifiers corresponding to an object-oriented class programming element.

6. The computer implemented method of claim 1 , wherein the error message is a stack trace message that reports active stack frames in computer memory during execution of the computer program.

7. A non-transitory computer readable storage medium comprising computer executable code that when executed by one or more processors causes the one or more processors to perform operations comprising:

receiving an error message indicating error that occurred during execution of a computer program, wherein the error message includes a sequence of execution paths of the computer program;

identifying a plurality of token sequences in the error message, wherein each token sequence includes a sequence of token identifiers identified from the execution paths of the error message;

generating an output by applying a neural network model to the identified plurality of token sequences.

determining an assignment for the error indicated by the error message based on the output of the neural network model; and

providing the error message to a user associated with the assignment.

8. The non-transitory computer readable storage medium of claim 7 , wherein each execution path from the sequence of execution paths represents a function call active in computer memory when the error was generated.

9. The non-transitory computer readable storage medium of claim 7 , wherein the computer executable code further causes the one or more processors to perform operations comprising encoding each token identifier in the plurality of token sequences into a one-hot encoded vector.

10. The non-transitory computer readable storage medium of claim 7 , wherein each token sequence in the plurality of token sequences includes token identifiers corresponding to a same programming element type.

11. The non-transitory computer readable storage medium of claim 10 , wherein each token sequence includes token identifiers corresponding to an object-oriented class programming element.

12. The non-transitory computer readable storage medium of claim 7 , wherein the error message is a stack trace message that reports active stack frames in computer memory during execution of the computer program.

13. A system comprising:

one or more computer processors; and

a non-transitory computer readable storage medium comprising computer executable code that when executed by the one or more processors causes the one or more processors to perform operations comprising:

receiving an error message indicating error that occurred during execution of a computer program, wherein the error message includes a sequence of execution paths of the computer program;

identifying a plurality of token sequences in the error message, wherein each token sequence includes a sequence of token identifiers identified from the execution paths of the error message;

generating an output by applying a neural network model to the identified plurality of token sequences;

determining an assignment for the error indicated by the error messaged based on the output of the neural network model; and

providing the error message to a user associated with the assignment.

14. The system of claim 13 , wherein each execution path from the sequence of execution paths represents a function call active in computer memory when the error was generated.

15. The system of claim 13 , wherein the computer executable code further causes the one or more processors to perform operations comprising encoding each token identifier from the plurality of token sequences into a one-hot encoded vector.

16. The system of claim 13 , wherein each token sequence in the plurality of token sequences includes token identifiers corresponding to a same programming element type.

17. The system of claim 13 , wherein each token sequence includes token identifiers corresponding to an object-oriented class programming element.

18. The system of claim 13 , wherein the error message is a stack trace message that reports active stack frames in computer memory during execution of the computer program.