Proper testing techniques and methods are essential to ensure that RPA is implemented in companies. While RPA testing is similar to other types of software testing methods, it's different in some ways.
Here are some lessons from past implementations:
Learn about the business process
It will undergo many changes as a process goes through automation. The primary goal of any testing should be to understand the new automated process before it can start. This step is crucial because it provides the foundation for all the subsequent steps. It is important to read the Process Definition Document, the Solution Design Document (SDD), and all other documentation created during the automation design phase. Once the team has a clear understanding of the business process, they can move to the next stage, which is creating test scenarios to verify that the code conforms to business rules.
Test scenarios
It's now time to confirm that the automation was developed in accordance with the business rules detailed in the design documents. Good test scenarios are concise, clear, and must cover every business rule in the PDD/SDD. The SDD usually lists the scenarios that must be tested, but it is important to also review the process flow and cross-check the SDD for missing information.
You can test scripts
This stage involves assembling the information that you have previously gathered. You will need to create a test script that includes multiple test cases and a range of outcomes. The test script is usually in Excel format. It will include the test scenarios, data requirements to test the scenarios, expected and actual outcomes, and the fail or pass column. It is important to write the script clearly and concisely, just like the test scenarios. A script that is thorough will reduce the chance of missing test scenarios or gaps. It is possible to have the design team look over the script and make suggestions, depending on how complex the process is. This extra step can eliminate any potential gaps during testing.
You should test the data
The fuel for the fire is test data. Automation testing without valid test data can result in inaccurate test results. This can cause invalid defects and can often put a strain on testing schedules. It is important to understand what data you require for a successful testing process.
Manage defects
Defects will be discovered as is normal with automation testing. Document the defects and inform the development team. Detail is the key to defect management. The faster a correction can be made, the more detail the test team will provide. You can provide more details by writing a test-case description, taking screenshots of the error, recording the location where it is occurring, attaching an input file to test, and attaching the output files generated by automation.
It takes a lot to successfully deploy new automation. Although testing is not the last step in the deployment process it is essential. ISG assists enterprises to learn from the past and ensure that any RPA project is tested smoothly. To know more visit RPA Testing Services UK.
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