In recent years technology has evolved and become more complex. This means the tools and techniques used by testers need to keep pace and be able to test a wide range of software and meet the needs of customers. In this post, we would like to share 5 trends in automated testing that will be relevant in 2021.

5 AUTOMATION TESTING TRENDS IN 2021

  1. Agile methodology

 The Agile project management methodology is already very popular with testers. It also enables better communication between developers, testers, and project managers.

Opportunities:

  • Agile is now linked to DevOps (Development & Operations) practices, so many companies are incorporating this methodology into their processes.

Disadvantages:

  • It can be difficult to apply due to lack of experience or lack of Agile-savvy team members

 

2. Test automation

The popularity and demand for test automation is growing so fast that there is no doubt that it will be one of the top trends in 2021.

Opportunities:

  • Supplements manual testing
  • Ideal for working on large projects
  • Ideal for working with machine learning and artificial intelligence

Disadvantages:

  • It will be more difficult in case of lack of knowledge
  • Difficulties when trying to link with DevOps

5 AUTOMATION TESTING TRENDS IN 2021

3. Testing environment and data management

 The right testing environment is one of the most important factors for successful testing. Testers are also well aware of the time it takes to properly prepare test data. To address these issues, more companies are using various data management tools. The Internet of Things can also help, as it allows data to be collected and shared between different devices.

Opportunities:

  • The ability to combine data management and testing
  • Possibility to create a virtual testing service

Disadvantages:

  • IoT security issues
  • Operational issues such as lack of compatibility and availability
  • Risk of data leakage

 

  1. Artificial intelligence and machine learning

 Complex systems and increasing user requirements create the need for sophisticated testing applications. Artificial intelligence and machine learning are increasingly being used for this purpose. These technologies will help to reduce the number of errors and make them easier to detect and correct.

Opportunities:

  • Visual testing: the ability to test the appearance of applications
  • Ability to distinguish differences between the programs under test
  • Ability to use artificial intelligence to automatically correct bugs and identify areas to be tested.

Disadvantages:

  • Expensive equipment and support
  • Lack of knowledgeable professionals
  • Little room for creativity

5 AUTOMATION TESTING TRENDS IN 2021 

  1. Mobile app testing

Mobile apps are undoubtedly one of the most popular technologies, so the need for testing them will inevitably increase. The variety of mobile apps is already too great for manual testing, so in the future, many automated testing tools will be needed. This will be necessary to reduce the cost and time spent on testing.

Opportunities:

  • Ability to test the performance of applications in different geographical areas
  • Possibility of linking to bug management applications such as Jira or Trello

Disadvantages:

  • Still not enough knowledge to extend mobile testing capabilities
  • Inability to test the app on all possible devices and operating systems

 

All of the above trends have great potential and will certainly be widely used in the near future. If you feel that you lack knowledge in a certain area, now would be a good time to broaden or strengthen it. Check out Dublin CODING School’s Automation Testing course HERE!