1. Selecting an appropriate automation test approach
Testers must find an appropriate approach to test automation. To do this, they have to find answers to important questions such as how to reduce efforts in the implementation and maintenance of the test script and the test suite? How to generate useful test reports and measurements? Will the automation test suites be a longer life? Most of the time answering these important questions facilitates the road process in the right direction. In agile development, the application under test often changes through development cycles. Thus, design and implement automation test suites to correctly identify these changes and maintain the up-to-date system is a necessary and tedious reasonable maintenance effort. In these cases, an ideal solution would be to have a test automation solution that can detect these problems and update automatically and re-validate the test without any human intervention.
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2. Choose the right automation tools
The selection of the right automation tools can be problematic for AQ teams, as their tool of choice does not offer a 100% test cover or the cost of tools exceeds their test budget. Or maybe they do not even miss expertise to get the most out of a specific tool. Nevertheless, if your team does not know how to use a tool, you can buy an online course for your testers or hire a consultant who can help your team to master it. Reach the test community If you are still looking for the right automation tool - the forums such as Stack Exchange provide a rich source of information for questions that you might have in your mind.
Sometimes the tool you use may not do everything you need. In this case, you should start looking for solutions that cover the critical areas of your team. If the tool you found is out of your budget, simply prepare a cost and advantages analysis and present your case to the management team. An analysis of expenses from bugs would have been resolved if you had the right tool in place. The comparison of different frames is the key to get the right adjustment for your automation needs
3. Rigorous laboratory management
Many teams prefer to build and maintain their laboratories. This is not necessarily a bad thing. However, internal laboratories are difficult to manage and also expensive. With the new operating systems, the devices, and browser versions being systematically released, internal laboratories can quickly become obsolete if not updated from time to time, which is again an additional cost. As a result, the teams end up spending a lot of time maintaining and executing their laboratory instead of putting their time into testing. Having a cloud-based device laboratory is a key for continuous tests unless it's special test/test scenarios, special networking (especially in Telco's space), etc.
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4. Sort through all data
DevOps Automation results in a huge influx of data that must be examined and analyzed. The teams often find that they swim in a sea of data composed of log files, architecture diagrams, and test results. However, these data contain a lot of useful information. The challenge between we try to sort this data. For example, data information can inform R & D teams on the necessary patches. Making the meaning of all data is a large company for many teams, especially those that are not equipped with good tools.
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For quick comments, you must be able to sort the noise. Today, the reality of CI / CD is that it requires teams to perform tests and analyze the results in minutes to understand where the problem lies and repair them as soon as possible. The use of test analyzes can help you understand the problem and avoid it.
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