Harish Harsh

Posted on 23rd April 2024|102 views


Rpa Test Cases

How to write test cases in RPA?

Aryan Sharma

Posted on 23rd April 2024

As companies adopt and implement RPA within their companies, proper testing techniques are more critical to perform a transaction to RPA successful. However, RPA testing practices are similar to that of different types of software testing, and they are diverse in some other ways. Below are a few critical lessons acquired from earlier implementations:

  1. Understand the business process: As a method is being automated, it will go over several changes. Ere each testing activities can start, the main goal of the test team must be to completely understand the recently automated process. This is one of the most crucial steps within the test cycle because it sets the foundation upon which the other steps are developed.
  2. Test scenario: Now it’s time to check the automation development according to the company rules documented within the design documents. The key to producing good test situations is to make sure they are transparent, short and cover every business rule recorded in the PDD or SDD.
  3. Test scripts: this stage needs putting collectively the data you have earlier picked. This test script is made up of various test cases including a kind of explicit results. It is typically within an Excel format plus will hold that test scenario, input data specifications for testing the scenarios, anticipated and original results, also a pass or fail column. Like the test plots, it is sufficient to write that script simply and concisely.
  4. Test the data: Test data is the most important phase. Without valid test data, automation testing can guide to wrong test results, which can point to wrong defects, frequently producing pressure on the testing timeline. That is why it is essential to have a clear understanding of what type of data and format you require for a strong testing cycle. 
  5. Manage defects: As required by any automation testing, errors will be found. The team must document the errors and inform to the development team. The key to efficient defect administration in detail. The more data the test team can give, the faster the correction can be done.

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