The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 14, 2025

Filed:

Dec. 07, 2020
Applicant:

Muse Dev, Inc., Portland, OR (US);

Inventors:

Stephen Magill, Portland, OR (US);

Pavani Guttula, Portland, OR (US);

Suresh Jagannathan, Portland, OR (US);

Assignee:

SONATYPE, INC., Fulton, MD (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 8/75 (2018.01); G06F 8/36 (2018.01); G06F 18/24 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 8/75 (2013.01); G06F 8/36 (2013.01); G06F 18/24 (2023.01); G06N 20/00 (2019.01);
Abstract

A preferably cloud-based platform supports improvements in software development by assessing quality of source code files, for example, when files are pushed to a software repository. Various static analysis tools are executed on a source file, and the resulting bug reports, which reflect native features of the tools are assembled in a dataset. The bug dataset is enhanced by adding additional features that are not natively generated by the static analysis tool. An ML classifier is trained to predict a selected bug feature, and the classifier is used to update the bug dataset to include estimated values of the selected feature. In an embodiment, post-processing analysis of bug report datasets applies machine learning methods to predict the 'severity' of bug reports, an indication of whether they are likely to be true or false. Further, a report of code quality can be returned based on the severity predictions.


Find Patent Forward Citations

Loading…