We live in digital age. If we compare our lives 5 years before, we can come up with a list of ways our standard of living has been upgraded and it's just because of technological advancements. Technology has not only provided us convenience and comfort but more precisely said that he had given wings to our boring and slow lives. This progress has been observed in every domain and industry, especially in software development and software testing domains. To resolve extensive-end-user requests for unique and creative software products and applications, organizations are now bound to include modern practice quality guarantees if they want to place the best quality software products with their names.
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One of the most effective and advanced ways technology to test software is through automation. Automation testing makes the testing process slow quickly. Acquiring services from every automation testing company or doing in-house automation testing is very important for the productivity of an organization.
Why testing automation?
The use of automation testing is a strategic decision that is strategically smart made by the organization because it eliminates the concept of a long testing process including a collection of manual testers as a mandate and causes heavy costs.
With hundreds of fate of automation testing, it can also produce several risk factors for the organization because automatic test cases sometimes scaly and automation can demand a long duration. For this purpose, we have produced various solutions and approaches to increase automation testing.
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Let's discuss this approach one by one;
The right test automation tool - it is very important to be wise when you choose the test automation tool. Why? Because the test automation tool can increase the overall credibility of your testing life cycle. Applying the use of test management tools that are appropriate and efficient for you because it allows manual testers not to obtain high levels of education or learning. Minimum learning is enough to use a fully test automation tool. However, this is a very time-consuming procedure to learn certain programming languages such as C or C ++.
Understand the product first - before you make a hand and the brain involved in doing the testing automation, one of the best things you can do is understand software products or application in depth. Try to understand which language is made if the application you will test is a desktop application. And if the application you will test is a web application then find the browser to support it. Which technology will be used.
Initial testing and sustainable testing - surely every business aims to achieve the desired objectives after entering any possible efforts to be done but the only company Make Error is to implement testing from the start and lack of testing. Because as soon as bugs / defects are detected, the faster they will be repaired and no risk of differences in the future will be there. In addition, early detection of software defects and disorders makes it possible to subject minimum fees.
Save this in mind "not everything can be automatic" - is mistaken to think that the use of automation testing has eliminated the use and role of manual testers in the software testing process. Experient testers must first try to test the smoke and then build testing acceptance, so there are very few at the beginning. After that, they can continue to do periodic tests and then test again. In addition, the QA tester must also ensure that each test they automate must save the time of manual testers to focus on other important things.
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Artificial intelligence-based automation tests - in certain stages of all software development cycles, are usually needed to run various test scenarios. When the test code for a particular network fails, the tester team may be forced to spend more energy and time to make important changes. In this process, with the development of the spread of AI, people have noticed that the main obstacles related to the introduction of images are easy to overcome. Artificial intelligence-based test automation using AI to carry out regression testing. This is useful in terms of achieving performance metrics in your application and more is a monitoring tool than a functional testing tool.
