- Understanding The Workflow
Testvox began by working closely with the client to understand the complete workflow. This step was very very important because RPA testing is not just only about executing test cases, it is about understanding how the system behaves in real scenarios.
By studying the flow of documents and user actions, the team gained clarity on how each bot was expected to function. This helped in identifying critical checkpoints for testing.
- Modular Testing Approach
To manage complexity, the project was divided into smaller modules. Each module represented a specific part of the workflow, such as document upload, approval or notification.
Test cases were created for each module and validated with the client before execution. This ensured that testing was aligned with business expectations.
Once individual modules were tested, the team moved on to validating the complete workflow. This step by step approach made it easier to identify and isolate issues.
- Remote Testing Environment
The client provided a dedicated environment for testing through remote access. This allowed the Testvox team to run the bots, simulate user actions and validate outcomes without affecting the live system.
Testing in a controlled environment ensured that all scenarios could be executed safely. It also made it easier to repeat tests and verify fixes.
- Detailed Test Case Design And Execution
More than 2000 test cases were created to cover all possible scenarios. These included positive cases, negative cases and edge conditions.
Each test case focused on validating specific aspects such as data accuracy, workflow transitions and notification triggers. This ensured that no system’s part was left unchecked.
The structured approach helped in maintaining consistency and improving coverage within a short time.
- Continuous Bug Reporting and Validation
After executing the test cases, detailed reports were shared with the client. These reports included clear descriptions of issues, steps to reproduce them and their impact.
The client’s development team worked on fixing the issues and Testvox provided continuous support by retesting the updated workflows. This cycle continued until the system met the expected quality standards.
- Suggestions To Improve Bot Design
Beyond detetcing all the defects, the team also provided recommendations to enhance the overall design of the bots.
For example, improvements were suggested in how notifications were triggered between different levels of approval. This ensured smoother transitions and reduced the chances of missed actions.