How can Robotic Process Automation Testing help Business Enterprises?

The role of quality assurance has gained increased traction among business enterprises thanks to the rising demand for new releases and service excellence. Today, to accelerate the time to market and deliver top-quality output, businesses need more than an agile-based development and deployment process. This is where automation fits in as an approach to minimize errors and optimize processes. In other words, Robotic Process Automation, or RPA testing across the value chain, can help businesses achieve higher efficiency, shorter turnaround time, and better accuracy.

The advent of new technology and processes has revolutionized the domain of quality assurance. Businesses are looking to adopt enterprise RPA to drive high velocity deployments without compromising quality. With automation becoming one of the key tools for digital transformation, businesses are adopting robotic test automation. This is because of its easy implementation and the use of software bots to reduce operational costs, improve accuracy, and efficiency. So, powered by AI and ML, RPA testing solutions are driving a new era in enterprise automation.

Most enterprises opt to implement RPA software robots using Agile in multiple iterations because they deliver faster value to the clients. But the implementation of RPA process software testing may involve a combination of components, technologies, and applications running on multiple operating systems. So, when it comes to executing end-to-end testing quickly, businesses can leverage open source automation testing tools such as Selenium, Robot Class, and Sikuli, among others.

How are software testing and robotic business process automation connected?

Robotic business process automation can facilitate high-end performance of processes with less effort. It reduces the effort to perform end-to-end testing while eliminating data silos, validating business processes, enabling collaborations, and structuring conventional APIs. The other reasons why RPA testing is gaining prominence among the QA teams are as follows:

l QA team members do not need to be skilled in programming languages to perform RPA software testing

l User-friendly technology, which can be adapted across business segments

l Easy to create processes using a simple drag and drop method

l Less workforce requirement resulting in cost savings

l The ‘additional’ workforce can be redeployed to perform core functions

l Being platform independent, the RPA QA services can support desktop applications, mobile applications, and web applications

l Repetitive tasks can be easily automated. This eliminates errors that are typically left unidentified during manual testing

l Work can be monitored 24 x 7

l Highly scalable as work can be assigned to multiple workstations

l High accuracy is achieved as testing is performed by bots

What is the best-fit strategy for using RPA in QA?

Business enterprises must include a holistic strategy to implement RPA in end-to-end testing. The steps are mentioned below:

l Identifying the repetitive tasks to be performed by the QA team and finding out if the tasks can be optimized by enabling RPA

l Identifying the automated or manual testing requirements for processes

l Selecting only those applications that are impacted by the RPA bot and not testing the entire process

l Executing end-to-end automation scripting using a combination of various test automation tools

l Creating a single automation script - right from test data generation to bot validation and execution across applications or systems

l Reusing the automation script in environments such as System Integration Testing (SIT) and User Acceptance Testing (UAT)

How did RPA testing services perform?

It has been observed that RPA scripts are very effective for regression tests, especially where there are multiple test scenarios to manage test data. And when compared to automation QA with no RPA tools for testing, the tests enabled by RPA are significantly faster. Further, since RPA can drive business testing, it can impact the volume of testing done by the QA team either on the development or business side. QA testers can assist business users by offering a tool coach to use the RPA tool effectively. The tool coach, on its part, can set up shared repositories, shared building blocks, and guidelines to address various testing challenges.

Conclusion

The rapid adoption of disruptive technologies and the demand for better quality products are driving enterprises to revisit their QA strategies. However, given the cutting edge, platform-independent and technology-agnostic robotic process automation, or RPA, executing QA for complex processes across multiple domains has become easy. Implementing a proper test automation strategy using RPA for the validation of business outcomes can help enterprises become more competitive.

James Daniel is a software Tech enthusiastic & works at Cigniti Technologies. I'm having a great understanding of today's software testing quality that yields strong results and always happy to create valuable content & share thoughts.