Identifying severity of test execution failures by analyzing test execution logs
AssigneeInternational Business Machines Corporation
InventorsChristopher L. Brealey, Shinoj Zacharias
Life of this patent
Estimating the term…
Abstract
The method includes identifying a test report log for a regression test. The method further includes identifying one or more errors in the identified test report log. The method further includes determining a severity category for the one or more identified errors in the identified test report log. The method further includes determining a severity category for the identified test report log based on the determined severity category for the one or more identified errors in the identified test report log.
Claims1
A computer system for determining severity of execution test failures, the computer system comprising:
- one or more computer processors;
- one or more computer readable storage media;
- program instructions stored on the computer readable storage media for execution by at least one of the one or more computer processors, the program instructions comprising:
- program instructions to identifying, by one or more computer processors, a test report log for a regression test;
- program instructions to identify one or more errors in the identified test report log;
- program instructions to determine a severity category for the one or more identified errors in the identified test report log;
- program instructions to determine a severity category for the identified test report log wherein determining a severity category for the identified test report log comprises:
- program instructions to identify a previous test report log with similar errors to the identified one or more errors in the identified test report log;
- program instructions to assign a severity category assigned to the previous test report log to the identified test report log;
- program instructions to identify at least one preset error message that matches an error message included in the identified test report log and corresponds to a plurality of severity categories;
- and
- program instructions to determine a severity category from a plurality of severity categories that includes a most identical preset error message in relation to error messages in the identified test report log;
- wherein program instructions to determine a severity category for the identified test report log, further comprises:
- program instructions to determine a percentage completion that corresponds to the identified test report log based on the identified one or more errors;
- program instructions to assign a severity category, from a plurality of severity categories, to the identified test report log based on the determined percentage completion;
- program instructions to identify a number of user interfaces without proper accessibility;
- program instructions to assign a severity category, from a plurality of severity categories, to the identified test report log based on the determined identified number of user interfaces without proper accessibility;
- program instructions to identify one or more messages for trace and bug log files;
- program instructions to assign a severity category, from a plurality of severity categories, to the identified test report log based on the identified one or more messages for trace and bug log files;
- program instructions to determine a percentage completion that corresponds to the identified test report log based on the identified one or more errors;
- program instructions to identify a number of user interfaces without proper accessibility;
- and
- program instructions to assign a severity category, from a plurality of severity categories, to the identified test report log based on the determined percentage completion and the identified number of user interfaces without proper accessibility;
- and
- program instructions to determine a severity category for the identified test report log based on the determined severity category for the one or more identified errors in the identified test report log.
Dependencies are inferred from the claim text.