Automation Testing is the emerging trend that promises more quality testing, more quickly and all with a lower investment for a company. It doesn’t matter how great the product looks, or even how functional it is if it doesn’t work properly.But automated testing does not only give you a more reliable and stable product for your customers, but also saves you time and money in the long run.Testers can be the bottleneck in an agile environment. Especially when there is high workload, or teams are not very tuned-in to what needs to be tested, it can be difficult for testers to keep up with releases and sprint goals.Testers can be the bottleneck in an agile environment. Especially when there is a high workload, or teams are not very tuned-in to what needs to be tested, it can be difficult for testers to keep up with releases and sprint goals. Here are three of the biggest predictions for automation testing in the future that you should be aware of.
API- based automation testing
Automation testing is a software development technique. It is used to reduce the time and cost of manual testing. Automation testing will be based on API, where data will be sent using APIs to test an application’s ability to process this data correctly. In this way, the application will be tested for different inputs to verify whether the application is functioning correctly.
Some of the advantages in using API-based automation testing are:
API-based automation testing can be used to test any type of applications that have an API interface. The following are some examples of applications that can be tested using API- based automation testing
Web Application : This is a type of application that stores and retrieves information from a remote server over the internet. A Majority of IoT devices share the sensitive data among each other. Hence it has become more important to test the data and this can be only done through API- Testing. It is predicted that the use of IoT devices will soar to 50 billion by 2030. This will give rise to next gen Alexa or the next gen humanoid. Curious, how do you test a humanoid?
NLP-based automation tools
NLP is an acronym for Natural Language Processing. This new technology will be able to process large amounts of data quickly using natural language and algorithms. It can understand language like we do, which means that it can retrieve information from websites and then relate it back to you in a more human-friendly way. NLP-based automation tools will be the next step in modernizing automation testing.
AI and ML-based automation testing
Artificial intelligence and machine learning-based automation testing is on the rise and will become mainstream in software testing in the future. Test engineers are already taking advantage of AI and ML to automate test tasks that would previously only be possible by manually commanding the test scripts to execute.
The use of Artificial Intelligence and Machine Learning to create automation testing algorithms will be a game changer. The software can learn from previous interactions, similar to the way people learn, which will make it better and more efficient in the future.