Patent · US Active

Test plan generation using machine learning

US10802953B2 · kind B2 · utility

0Cited by
1References
18Claims
0Family size

Assignee

Inventors

Key dates

Filing dateDec 1, 2017
Grant dateOct 13, 2020
Priority date
Expiry dateNov 26, 2038

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06N3/08
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

Testing of a software system is initiated in an operating environment. The software system includes a plurality of software programs executing across multiple computing nodes. Thereafter, the operating environment and/or resources available to one or more of the software programs are selectively altered according to a test plan. In addition, functional and/or performance characteristics of one or more parts of the operating environment and/or the software programs under test are also selectively altered according to the test plan. In addition, concurrent with the altering of the operating environment and/or the resources and the altering of functional and/or performance characteristics, behavior and/or performance of the software system are monitored to identify faults. Data characterizing the faults can be provided as input into the testing for analysis and feedback into generating better test plans as well as generating more optimal configurations of the software system itself and/or the operating environment.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.