ANALYZING SOFTWARE TEST FAILURES USING NATURAL LANGUAGE PROCESSING AND MACHINE LEARNING
Patent №
US 11,226,892
Granted
2022-01-18
Filed 2020
Owner
INTERNATIONAL BUSINESS MACHINES CORPORATION
Lab
AI components
4
ml · nlp · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
17073501
According to an aspect, software test failures are analyzed using natural language processing (NLP) and machine learning. A failure is detected during a code build associated with a software product. Each change set since a last successful code build associated with the software product is identified and analyzed using NLP to extract change set features. A software defect origin model is applied to the extracted features in each analyzed change set to detect an origin of the failure.
AI classification
Ownership
INTERNATIONAL BUSINESS MACHINES CORPORATION
assignment · 540920293
Assignors
KOCHURA, NADIYA, RAGHAVAN, VINODKUMAR, RANDALL, DONALD H., JR., REEDY, DEREK M., SNOW, TIMOTHY B.
On an employer assignment, the assignors are typically the inventors.