Abstract
Techniques are described herein for a mixed Machine Learning (ML) method which contains both the Ant Colony Optimization (ACO) algorithm and Bayesian method. The regression test is very common for a Quality Assurance (QA) team in its daily work, but usually has too many cases for a very little-changed patch. The techniques described herein may pick up as few desired test cases as possible but still guarantee the same testing performance as before. This may improve the efficiency of the QA team, shorten its work time, and reduce the requirement for testing devices as well.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Zhang, Lele; Xie, Mingyu; Li, Chuanwei; and Fang, Xiang, "INTELLIGENT REGRESSION TESTING FOR INTERNET OF THINGS WIRELESS DEVICE USING MIXED MACHINE LEARNING METHODS", Technical Disclosure Commons, (February 14, 2019)
https://www.tdcommons.org/dpubs_series/1958