International Business Machines Corporation
Test case selection
Last updated:
Abstract:
Test case selection methods are disclosed. A feature of a candidate test case and respective features of a set of test cases are extracted. The set of test cases is clustered into a plurality of clusters based on the respective features of the set of test cases. At least one cluster related to the candidate test case is determined from the plurality of clusters based on the feature of the candidate test case. At least one test case similar to the candidate test case is selected from a plurality of test cases included in the at least one cluster.
Status:
Grant
Type:
Utility
Filling date:
22 Sep 2020
Issue date:
29 Mar 2022