US 11,379,350 B2 · Intelligent software testing

Abstract

A system and method that improves the efficiency and accuracy of template selection process by applying machine learning to perform natural language processing (NLP) to automatically interpret the intent of the test scenarios and to match the intent of the test scenarios to appropriate test template(s). The system and method can use keyphrases and part-of-speech (POS) tokens to accurately capture the intent of test scenarios and templates. The system and method can additionally use machine learning to perform NLP to identify information from the test scenario(s) that relates to fields in templates to automatically fill in fields in the selected test template(s). In situations where the processing of the test scenario(s) does not provide all of the information necessary to fill every field of a template, the system and method can use machine learning to perform NLP to automatically create and execute a search statement to find the missing information related to empty fields in an application database.

Claims20

Dependent claims

A computer implemented method of testing software, comprising:

obtaining a test scenario having at least one test case, the test scenario configured to test an application;
applying machine learning to perform natural language processing (NLP) to determine features of the test scenario;
using the determined features to automatically select a testing template corresponding to the test scenario from a template repository;
matching the determined features to template metadata describing the selected testing template;
using the matched template metadata to automatically fill fields in the selected testing template;
and
using the filled test template to execute the test scenario.

4 more elements

A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform the following operations:

obtaining a test scenario having at least one test case, the test scenario configured to test an application;
applying machine learning to perform natural language processing (NLP) to determine features of the test scenario;
using the determined features to automatically select a testing template corresponding to the test scenario from a template repository;
matching the determined features to template metadata describing the selected testing template;
using the matched template metadata to automatically fill fields in the selected testing template;
and
using the filled test template to execute the test scenario.

4 more elements

A system for testing software, comprising:

one or more computers and one or more storage devices storing instructions that are executable by one or more computers which, upon such execution, cause the one or more computers to perform the following operations:
obtaining a test scenario having at least one test case, the test scenario configured to test an application;
applying machine learning to perform natural language processing (NLP) to determine features of the test scenario;
using the determined features to automatically select a testing template corresponding to the test scenario from a template repository;
matching the determined features to template metadata describing the selected testing template;
using the matched template metadata to automatically fill fields in the selected testing template;
and
using the filled test template to execute the test scenario.

5 more elements

Dependencies are inferred from the claim text.

Intelligent software testing

Life of this patent

Intelligent software testing

Life of this patent

Abstract

Claims20