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.
Patent No.:
Date of Patent:
Mar. 10, 2020
Filed:
Dec. 10, 2015
International Business Machines Corporation, Armonk, NY (US);
Gary F. Diamanti, Wake Forest, NC (US);
Iwao Hatanaka, Acton, MA (US);
Mauro Marzorati, Lutz, FL (US);
William A. Mills, Arlington, MA (US);
International Business Machines Corporation, Armonk, NY (US);
Abstract
A mechanism is provided in a data processing system for performing regression testing on a question answering system instance. The mechanism trains a machine learning model for a question answering system using a ground truth virtual checksum as part of a ground truth including domain-specific ground truth. The ground truth virtual checksum comprises a set of test questions, an answer to each test question, and a confidence level range for each answer to a corresponding test question. The mechanism runs regression test buckets across system nodes with domain-specific corpora and receiving results from the system nodes. Each system node implements a question answering system instance of the question answering system by executing in accordance with the machine learning model and by accessing domain-specific corpora. Each test bucket includes a set of questions matching a subset of questions in the ground truth virtual checksum. The mechanism identifies regressions, inconsistencies, or destabilizations in code behavior in the system nodes based on results of comparing the results to the ground truth virtual checksum and generates a report presenting the identified regressions, inconsistencies, or destabilizations and the affected system nodes.