AUTOMATED SOFTWARE CHANGE MONITORING AND REGRESSION ANALYSIS

• US 20160062876A1
• Filed: 09/03/2014
• Published: 03/03/2016
• Est. Priority Date: 09/03/2014
• Status: Abandoned Application

• Current Assignee: SAP SE
• Original Assignee: SAP SE
• Inventors: Narayanan, Ajit Kumar
• Application Number:
  US14/476,226
• Publication Number:
  US 20160062876A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 11/3684 for test design, e.g. generating new test cases
• CPC Class Codes: G06F 8/71 Version control security arrangements therefor G06F21/57; Configuration management
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition

Abstract

The present disclosure describes methods, systems, and computer program products for providing automatic regression analysis of software source code. One computer-implemented method includes selecting particular source code of a software produce from a source code repository, preparing the selected source code to extract information while executing, performing a series of actions on the prepared selected source code resulting in logged data associated with the performed actions, submitting the logged data to an automatic regression analyzer application, determining changes made to the particular source code, and determining software tests needed to be executed to properly test the changed particular source code and other affected source code.

Claims

1. A computer-implemented method comprising:

selecting particular source code of a software produce from a source code repository;

preparing the selected source code to extract information while executing;

performing a series of actions on the prepared selected source code resulting in logged data associated with the performed actions, the actions performed as part of a teaching function to learn information about software tests or scenarios for the prepared selected source code to enhance a knowledge base used to identify software tests that need to be re-run if the prepared selected source code is modified;

submitting the logged data to an automatic regression analyzer application;

determining changes made to the particular source code; and

determining software tests needed to be executed to properly test the changed particular source code and other affected source code.

2. The method of claim 1, wherein preparing the selected source code includes instrumenting the selected source code.

3. The method of claim 1, wherein preparing the selected source code includes using byte code injection or aspect-oriented programming methods during building of the selected source code into executable form.

4. The method of claim 1, comprising writing the logged data to the knowledge base.

5. The method of claim 4, comprising using rules with the knowledge base to provide analytical intelligence with respect to the written logged data.

6. The method of claim 1, comprising monitoring the particular source code in the source code repository using a watch dog agent.

7. The method of claim 1, comprising generating a list of the determined software tests.

8. A non-transitory, computer-readable medium storing computer-readable instructions executable by a computer and configured to:

select particular source code of a software produce from a source code repository;

prepare the selected source code to extract information while executing;

perform a series of actions on the prepared selected source code resulting in logged data associated with the performed actions, the actions performed as part of a teaching function to learn information about software tests or scenarios for the prepared selected source code to enhance a knowledge base used to identify software tests that need to be re-run if the prepared selected source code is modified;

submit the logged data to an automatic regression analyzer application;

determine changes made to the particular source code; and

determine software tests needed to be executed to properly test the changed particular source code and other affected source code.

9. The medium of claim 8, wherein preparing the selected source code includes instrumenting the selected source code.

10. The medium of claim 8, wherein preparing the selected source code includes using byte code injection or aspect-oriented programming methods during building of the selected source code into executable form.

11. The medium of claim 8, comprising instructions to write the logged data to the knowledge base.

12. The medium of claim 11, comprising instructions to use rules with the knowledge base to provide analytical intelligence with respect to the written logged data.

13. The medium of claim 8, comprising instructions to monitor the particular source code in the source code repository using a watch dog agent.

14. The medium of claim 8, comprising instructions to generate a list of the determined software tests.

15. A system, comprising:

a memory;

at least one hardware processor interoperably coupled with the memory and configured to;

select particular source code of a software produce from a source code repository;

prepare the selected source code to extract information while executing;

perform a series of actions on the prepared selected source code resulting in logged data associated with the performed actions, the actions performed as part of a teaching function to learn information about software tests or scenarios for the prepared selected source code to enhance a knowledge base used to identify software tests that need to be re-run if the prepared selected source code is modified;

submit the logged data to an automatic regression analyzer application;

determine changes made to the particular source code; and

determine software tests needed to be executed to properly test the changed particular source code and other affected source code.

16. The system of claim 15, wherein preparing the selected source code includes instrumenting the selected source code.

17. The system of claim 15, wherein preparing the selected source code includes using byte code injection or aspect-oriented programming methods during building of the selected source code into executable form.

18. The system of claim 15, further configured to write the logged data to the knowledge base.

19. The system of claim 18, further configured to use rules with the knowledge base to provide analytical intelligence with respect to the written logged data.

20. The system of claim 15, further configured to monitor the particular source code in the source code repository using a watch dog agent.

21. The system of claim 15, further configured to generate a list of the determined software tests.