CHALLENGES

• Significant effort loss during the re-execution of automated test cases (TCs) for capturing Business Rule Management (BRM) logs.
• Challenges primarily affected the Progression and Regression teams.
• High rework effort of 70-80% due to the identification and resolution of BRM defects.
• Inefficiencies in managing automated tests hindered timely and effective solutions.

Solution Implemented:

• Implementation of the “brmCommandExecutor” keyword streamlined the capturing of BRM data logs and the execution of BRM command line functions with precise punctuation.
• Automated the storage of BRM data and cm logs by directing them to a designated AWS S3 bucket, facilitating easy retrieval and analysis for improved efficiency.

Technologies Used:

• Keyword-Driven Framework designed for ease of use and scalability.
• Oracle BRM: Customized automation for specific client needs.

Business Impact:

• Enhanced Efficiency: Reduced time spent on test case execution and maintenance.
• Improved Test Coverage: Greater consistency in testing across multiple scenarios.

Results Achieved:

• Effort Reduction: The implementation significantly decreased the re-execution effort for test cases with identified issues, leading to considerable time savings for testers.
• Efficient Issue Analysis: Automatic capture and storage of BRM data and cm logs improved communication with the BRM development team, streamlining issue analysis and resolution.
• Test Bed Time (TBT) Utilization: Testers could reuse TBTs for future scenario executions, eliminating manual data log capture constraints.
• Rework Reduction: The re-execution percentage for identified issues dropped from 70-80% to around 10-20%, reducing stress on testers and positively affecting critical feature timelines. The introduction of the “brmCommandExecutor” keyword proved effective in enhancing efficiency and minimizing rework efforts.

Conclusion:

The implementation of the “brmCommandExecutor” keyword successfully transformed the testing process for Oracle BRM. By reducing the effort required for test case re-execution and facilitating efficient issue analysis, the project significantly improved overall testing efficiency. The reduction in rework percentages not only alleviated pressure on testers but also positively impacted critical project timelines. This approach exemplifies how strategic automation can lead to enhanced productivity and better outcomes in software testing.