Detecting software build errors using machine learning

A system, comprising:

• a memory for storing a computer program for detecting software build errors;
• and
• a processor connected to said memory, wherein said processor is configured to execute the program instructions of the computer program comprising:
• creating a classification system that identifies users' questions pertaining to errors in computer programs that are associated with a log report;
• building a model to classify log data as bug-related or not bug-related based on said classification system;
• retrieving log data from a plurality of sources involving previously-built software products, wherein said retrieved log data comprises questions, wherein said plurality of sources comprises online forums;
• identifying log reports from said retrieved log data that are bug-related based on said model;
• vectorizing language of said identified log reports that are bug-related using said model;
• storing said vectorized log reports that are bug-related;
• vectorizing language of a build log report for a software product upon completion of a build of said software product using said model;
• comparing said vectorized log report with said stored vectorized log reports;
• providing a copy of a log report and a source of said log report associated with a stored vectorized log report in response to identifying said stored vectorized log report within a threshold amount of distance to said vectorized log report;
• and
• instructing a programmer to proceed to release said software product in response to said vectorized log report not being within said threshold amount of distance to a stored vectorized log report.