The adoption of Robotic Process Automation (RPA) is growing rapidly and is being accepted as a valuable technology by many organizations. One prominent area where RPA is gaining huge demand is the testing domain.
For successfully transiting an RPA automated process from as-is state to to-be state in production, a proper testing methodology is important.
RPA testing practices are considered to improvise test automation activities. In this article, you will get to know what are the five pillars of a successful RPA test plan.
Following are the five pillars of a successful RPA test plan:
- Understanding the specific requirements: change in requirements while the automation solution is being developed is considered to be one of the most difficult parts. Before initiating the testing activity, the testing team must clearly know the significance of the to-be automation solution.
Upon that, the testing team must also have a good understanding of as-is process flows and to-be process flows from an implementation perspective.
If there are any other technical documents that have been developed during the requirements analysis and the design phase, then those documents must also be thoroughly understood by the team.
It is only when the specific requirements are clearly understood by the QA team can the next pillar be initiated.
2.Data needs to be tested: For any test cycle to be successfully executed, test data plays a pivotal role. Test data that is incomplete or invalid will result in generating test reports that are incorrect, which will, in turn, lead to reporting invalid defects.
This will impact the testing timeline and the efficiency of the RPA implementation. There should be clear know-how as to what variations are required in terms of formats and types so that a productive test cycle can be ascertained.
3.Incorporate test scripts and test cases: Test scripts are generated through different test cases. The document to record the activity can be a simple excel sheet that includes scenario-specific input data and a list of test scenarios.
This information is required to execute the testing, ascertain the expected output and the actual displayed output. A status column that will list whether the test was a success or failure.
A concise test script plays a pivotal role. If the test script is more detailed, then the chances of missing any test scenarios will be lessened. For optimal performance, the design team and subject matter expert must review the document.
4.Perform execution through a well-defined strategy: When the test scenarios are documented in a concise manner, then test scripts can be executed smoothly.
All that is noted in the requirements documentation should be covered. The specific scenarios that need to be validated while testing is listed in the technical design document.
For successful process automation, process flows must be reviewed and required documents must be cross verified for any missing information.
5.Documenting and managing defects: Any testing cycle will have defects. The testing team is responsible to document the defects and then send them to the development team. To effectively manage defects, meticulous scrutinization is the key.
If the testing team can provide as much information as possible then the necessary corrections can be performed quickly and easily.
Some of the important details that can be included are recording where the process failed, capturing the image of the error screen, test case description, attaching the input data file that is used for testing, and attaching the output file that has been generated by the automation solution.
Conclusion: Developing an RPA test plan is the most tactical way to conduct RPA testing activities. If you are looking forward to strategic and in-depth advice on RPA testing from some of the best QA professionals, then just go for that company that really has a competent team of testing experts.
About the author: I am a technical content writer focused on writing technology-specific articles. I strive to provide well-researched information on the leading market-savvy technologies.