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With a need of faster and reliable results in the field of Testing and Quality Assurance, Automation Testing has become an integral part of the testing. To improve the results even more, testing companies are including another process called RPA (Robotic Process Automation) in their testing cycle. Test automation and RPA do have many similarities, as both help in covering the boring repetitive processes that involves high risk of human error. However, RPA is different in the fact that it focuses on test data or regression data rather than the production data, which is the case with test automation.

RPA is a business automation tool that focuses on test data and regression data, especially to implement it in large-scale standard systems. RPA, driven by artificial intelligence and machine learning, is taking the enterprise testing to a completely new level. We help you understand a few benefits of including RPA in your testing process.

Efficient Output with Enhanced Cycle Time

Humans generally perform at 60-70% efficiency with some errors whereas robots work at 100% efficiency with no errors, making it the most important reason to use RPA. Furthermore, the robot can work for 24 hours a day but a human can give you the performance for only 8 hours a day. This ensures that you can complete your testing process much faster and aid your automation testing even more. The testing requires just a few minutes but when these tests are to be repeated, the time taken adds up and robots doing it will save you a lot of time and work force as they complete the tasks in a few seconds. The time saved by your IT team can help them in indulge in issues that are more important rather than spending time on the repetitive tasks.

Cost Effective

When you use robots to perform tasks, one of the biggest advantages is the fact that it saves you a lot of money in the long run. As mentioned above, robots can work round the clock producing accurate results, thus resulting in better profit at lower expense. The potential of increasing your savings improves by 20-35%, depending on the scale of the project.

Simple process

RPA does not requires huge lines of coding and hence with the accurate coding and machine learning, you can easily transform complex but repetitive process to an RPA setup, helping you get better and faster results. Therefore, you do not need a work force that is able to do extensive coding at a high level.

Non-disruptive and compatible with existing system

One of the biggest advantages of RPA is that it seamlessly blends with the existing process. RPAs work as an interface that can work across the systems to make sure that you can implement the RPA throughout your company without any technical or execution difficulties.

What are the tasks that an RPA can help you with in your business?

  • Automated Data Entry
  • Repetitive tasks
  • Process Reconciliation
  • Multi-system integration
  • Data validation
  • Processing simple business rules

What should be the strategy to setup the RPA?

If you are looking for faster and reliable results from your testing process then it is important to have a comprehensive approach or strategy to help setup RPA in your system.

  • You need to identify the repetitive tasks that your IT team is doing that needs more accuracy and optimisation.
  • Once you identify such tasks, you need to identify the automation and manual testing for each task.
  • Check the processes that the RPA bot can affect to produce better results.
  • Combining various open-source test automation tools will enable end-to-end automation scripting.
  • Create a single automation script to enable bot execution using the test data and validate it across all the platforms or processes.
  • You can use the script you created in higher systems like user acceptance testing or system integration testing as well.

RPA is computer-coded software that mimics interaction of users to enable the automation of repetitive and rule based processes across different applications and platforms. With so many features, RPA is a technology that you should include in your Testing and Quality Assurance processes.

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