The changes underway now are arguably more impactful than any changes the industry has ever seen. So what’s behind these changes? And more importantly, what can testers expect from software testing?

1. Scriptless Test Automation

The name “Scriptless” suggests a NO to scripting & programming.  Scriptless test automation came into the picture at this moment with an initiative to build an optimized test automation engine. The motive is to make ease to the testing team to quickly build ready-to-use automated test cases and reusable code assets that have full test coverage.

Scriptless test automation is being sifted to highly organized tools for use in multiple real-time test scenarios. The developers of those tools might have analyzed various business cases, deployment environments, operational scenarios before building each reusable components for their tools. Hence they produce a good standard of practical reliability as well.

With scriptless testing, testers can create better automation scripts that showcase the core functionality of the application. This type of testing method will certainly reduce the number of licenses for the testing tools. Scriptless testing will be more useful for product development companies where the same resources can be leveraged for multiple tasks.

Some of the Scriptless Test Automation Tools are:

  • TestCraft
  • Ranorex Studio

2. Artificial Intelligence (AI)

Whether it be the health, finance, or entertainment sector – every industry is trying to innovate and use AI-based apps that help automate tasks. This makes testing the apps for automation a business-critical activity. The application of AI in software testing tools is focused on making software development lifecycle easier. Through the application of reasoning, problem-solving, and, in some cases, machine learning, AI can be used to help automate and reduce the amount of mundane and tedious tasks in development and testing.

Where AI shines in software development is when it is applied to remove those limitations, to enable software test automation tools to provide even more value to developers and testers. The value of AI comes from reducing the direct involvement of the developer or tester in the most mundane tasks. (Human intelligence is still very much needed in applying business logic, etc.)

3. Robotic Process Automation (RPA)

One of the most fascinating developments in Business Process Management is the RPA (Robotic Process Automation), which is considered even more transformational than cloud computing. The suitable example is of the process in customer care centers where customers are guided by the robots, which accepts the voice-based responses and pass the instructions to the underlying system to complete any transaction.

RPA helps the IT professional in getting high-end performance from their computing system. It reduces the end-to-end testing effort while collaborating and structuring the custom APIs. RPA can play a significant role in QA development and provide business to add more value thus ensuring scalability and stability with less cost.

RPA Tools and Technologies

  • C#
  • Robot Emulator
  • Ace (IDE for V+)
  • NUnit
  • DirectX9
  • .NET 4.0
  • Blue prism
  • UiPath

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