US 10,769,057 B2 · Identifying potential errors in code using machine learning

Abstract

A method, system and computer program product for identifying potential errors in a software product after it is built but prior to release. Negative log reports of previously-build software products containing errors in the code in connection with building these software products are identified. The language of the negative log reports is then vectorized and the vectorized negative log reports are then stored. After vectorizing the language of a build log report upon completion of a build of a software product, the vectorized log report is compared with the stored vectorized negative log reports. The release of the software product will then be halted and the programmer will receive a copy of the negative log report associated with the vectorized negative log report closest in distance to the vectorized log report if the vectorized log report is within a threshold amount of distance to a stored vectorized negative log report.

Claims20

Dependent claims

A method for identifying potential errors in a software product after it is built but prior to release, the method comprising:

identifying negative log reports of previously-built software products, wherein said negative log reports contain errors in code in connection with building said previously-built software products;
vectorizing language of said identified negative log reports of previously-built software products;
storing said vectorized negative log reports;
vectorizing language of a build log report for a software product to form a vectorized log report upon completion of build of said software product;
comparing said vectorized log report with said stored vectorized negative log reports;
and
halting release of said software product in response to identifying a stored vectorized negative log report within a threshold degree of distance of said vectorized log report.

4 more elements

A computer program product for identifying potential errors in a software product after it is built but prior to release, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code comprising the programming instructions for:

identifying negative log reports of previously-built software products, wherein said negative log reports contain errors in code in connection with building said previously-built software products;
vectorizing language of said identified negative log reports of previously-built software products;
storing said vectorized negative log reports;
vectorizing language of a build log report for a software product to form a vectorized log report upon completion of build of said software product;
comparing said vectorized log report with said stored vectorized negative log reports;
and
halting release of said software product in response to identifying a stored vectorized negative log report within a threshold degree of distance of said vectorized log report.

4 more elements

A system, comprising:

a memory for storing a computer program for identifying potential errors in a software product after it is built but prior to release;
and
a processor connected to said memory, wherein said processor is configured to execute the program instructions of the computer program comprising:
identifying negative log reports of previously-built software products, wherein said negative log reports contain errors in code in connection with building said previously-built software products;
vectorizing language of said identified negative log reports of previously-built software products;
storing said vectorized negative log reports;
vectorizing language of a build log report for a software product to form a vectorized log report upon completion of build of said software product;
comparing said vectorized log report with said stored vectorized negative log reports;
and
halting release of said software product in response to identifying a stored vectorized negative log report within a threshold degree of distance of said vectorized log report.

7 more elements

Dependencies are inferred from the claim text.

Identifying potential errors in code using machine learning

Life of this patent

Identifying potential errors in code using machine learning

Life of this patent

Abstract

Claims20