US Patent Issued to Dell Products on Feb. 10 for "Detecting code anomalies in source code using machine learning techniques" (Massachusetts, North Carolina, New Hampshire Inventors)

ALEXANDRIA, Va., Feb. 11 -- United States Patent no. 12,547,387, issued on Feb. 10, was assigned to Dell Products LP (Round Rock, Texas).

"Detecting code anomalies in source code using machine learning techniques" was invented by David C. Sydow (Merrimack, N.H.), Anil Kumar Koluguri (Durham, N.C.), Shreyans Jasoriya (Brighton, Mass.), Songlin Hou (Worcester, Mass.) and Gajanan S. Natu (Cary, N.C.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods, apparatus, and processor-readable storage media for detecting code anomalies using machine learning techniques are provided herein. An example computer-implemented method includes parsing source code from at least one code repository to create a plurality of to...