Trends that highlight automatic testing benefits
The last few months are a turning point for many businesses. Millions of people lost their jobs because Covid-19. Suddenly there is a global shift in the labor market throughout the world.
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Perhaps one of the most important changes in the effects of pandemic in IT, automation, and long distance work. The more companies have decided to switch to operations that are completely far for the health and continuity of the employee's business.
With this change there is also a change in the way people consume goods and services. More people live at home. The only way the company and companies can interact with their customers is with applications and software systems. And it is increasingly difficult for businesses to avoid or delay their digital transformation.
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As a result, all these changes also increase demand for software testing. This is where automation testing is in.
Why is automation testing important?
Automation testing is the use of tools and platforms to execute software tests during software development. This allows testers and developers to leave the most redundant and repeat software testing section for the machine.
Although not intended to fully change manual testing, automatic testing has proven that it can help cut costs, improve feedback cycles, increase productivity, and produce reliable test results.
Trends for software testing for 2021 highlights this benefit even more.
Automation testing trends in 2021
Modern problems need a modern solution. The problem of testing software that we faced 2021 helped form a smart software testing solution too. Get in front of the curve by getting used to this top trend in automation testing:
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# 1: Automation testing without codging
Through the days when testing automation requires testers to have deep knowledge and work for software programming. Many testers can now find success in automation testing even without programming skills.
There is a low learning curve with automation testing without code. You can start with testing without having to learn the testing framework. You can "write" a test case without knowledge about the underlying technology. Note and playback features are increasingly popular.
# 2: AI and ML for Testing Automation
Tools use artificial intelligence, machine learning, and natural language processing are also on the rise. Investment in AI technology and ML applications continue to increase over the past few years, and trends will continue up to 2021 and so on.
Many testing tools now have the ability to learn user behavior and predict the type of test they need to run. Self-healing and adaptive waiting becomes more common.
In the past, most of the automatic testing focused on regression and smoke tests - in other words, pass / failed test. At present, the testing automation platform can even help with analytics and provide advice for improvement.
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# 3: more interest in big data
Information is invaluable assets for business. Companies that can understand large data have a bright future in front of them. However, they already know their target audience.
Personal and public entities are increasingly interested in large data, and with it is interest in testing large data.
Market research and analytical large data can only have reliable results when the original data set is valid and accurate. In short, the quality of reports depends on the quality of original structured or unstructured data. Therefore, the increasing need for testing large data.
# 4: Transformation of Agile and Devops teams
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Changing the development of traditional software and I / O teams to DevOps shorten SDLC and make application releases and software that are faster and more reliably. Agile methodology answers the problem of the needs of people who quickly change.
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