Predictive model scoring to optimize test case order in real time

Patent metadata

Field	Value
Publication number	US-9495642-B1
Application number	US-201615014486-A
Country	US
Kind code	B1
Filing date	Feb 3, 2016
Priority date	Jul 7, 2015
Publication date	Nov 15, 2016
Grant date	Nov 15, 2016

Abstract

An approach for predictively scoring test case results in real-time. Test case results associated with a test run are received by a software testing environment. Using predictive statistical models, test case results and attribute relationships are matched against model rules and test case history. A statistical correlation and confidence parameter provide the ability to generate test case relationships for predicting the outcome of other test cases in the test run. The test case relationships are transformed into scoring results and output for the further processing.

First claim

What is claimed is:

1. A computer-implemented method for predictively scoring test case results in real-time, the method comprising:
receiving, by one or more computer processors, one or more test case results associated with a test run, wherein the one or more test case results comprise attributes associated with one or more test case relationships;
determining, by one or more computer processors, one or more test case relationships based on at least one of one or more predictive statistical models and one or more attributes, wherein predictive statistical models comprise one or more of a priori, regression, clustering, tree, and neural network, wherein the one or more predictive statistical models are operational on the one or more test case results, and wherein determining the one or more test case relationships comprises data-mining historical test results to organize related attributes statistically;
transforming, by one or more computer processors, the one or more test case relationships into one or more scoring results based on predetermined correlation criteria, wherein predetermined correlation criteria comprise one or more of predetermined association rules and one or more predictive statistical models; and
outputting, by one or more computer processors, the one or more scoring results for further processing, wherein the one or more scoring results comprise one or more of single-value output comprising a test case for execution, multi-value output comprising a plurality of test cases and statistical correlation and confidence ranking for execution, and multi-value prioritized output comprising a prioritized plurality of test cases for execution.

Assignees

• IBM

Inventors

• Smith Kevin B
• Thompson Andrew J
• Waddling David R

Classifications

• G06F16/2465

  Query processing support for facilitating data mining operations in structured databases · CPC title

• G06F11/261

  by simulating additional hardware, e.g. fault simulation · CPC title

• G06F16/248

  Presentation of query results · CPC title

• G06F16/24578

  using ranking · CPC title

• G06N99/00

  Subject matter not provided for in other groups of this subclass · CPC title