Why UI automation for Python: UI stands for user interface which is the most important component of any software application or product. User interface is the face of any software and hence it should be attractive enough to keep the users entertained and informed by the application. Hence as a smart software developer, we must focus more on the user interface so that we can provide better user experience. In today’s arena, the importance of user interface has increased to a much higher level due to competitive environment in the industry. As a result, there are large numbers of automation UI tools are developed in the industry to help the testers in achieving better quality output. Well Python is a super powerful and superfast technology having a tremendous market demand in the industry. Testers are looking for better Python UI automation tools to produce high quality and efficient Python applications. While we are dealing with UI automation tools, we must follow some thumb rules so as to make the process not only effortless but also efficient enough. Today we will discuss those key points in two categories i.e., what we should do and what we should not for efficient UI testing.
Do’s of UI automation: Basically UI automation is a client side process i.e., our focus is to improve the client side user experience. For the same the most important thing is to collect every possible client side data through the UI tool. If we have enough information on client side, then we can manipulate those data for providing better user experience. Similarly we must acquire the information of the browsing device to provide optimum user experience. This can be achieved with information like width and height of the device, and orientation of the device etc so that we can test the application thoroughly for different scenario. Without optimisation we can’t provide better user experience. Hence we must test if every possible optimisation rules are strictly followed or not in the application. If not, we should report the same to the Python developer for improvement. Along with that, sometimes we must keep some snapshots of bugs in the application so that the developer can debug it easily. Again we should keep track of every test case that we have implemented on the application for future purpose.
Don’ts for UI Automation: As a smart automation tester, you should avoid unnecessary script running to decrease the time and effort. Similarly we should also avoid frequent running of small test scripts for the application rather we should write a compressive test case for the purpose. A smart Python UI automation tester should avoid multiple log operation in the application to avoid unnecessary time loss. Long time-outs are usually given by the tester in order to check the application thoroughly; but sometimes it becomes an inefficient process. Hence we must avoid long time-outs in our application for efficient UI testing. Many UI testers have a tendency to quit the testing tool after each and every test-case gets executed and then launching it again. This is really a bad habit and it not only takes unnecessary time but also hampers the productivity of the software firm.
Mindfire Solutions is one of the premier Python development companies in India and has been providing quality software development services to its esteemed clients for over 8 years now. Our senior Python and Django developers have delivered more than 50 custom Python and Django projects for our clients. Our Web Development Team is 15 years old now and equally adept in various web technologies like Java, ASP.Net, ColdFusion, Ruby on Rails, PHP and Front End technologies like HTML5 and JavaScript to name a few. If you have a rich web application and you need to upgrade/maintain the same or a new web application idea in mind, please feel free to write to us at Sales at MindfireSolutions Dot Com and we will revert back within one business day.
Do’s of UI automation: Basically UI automation is a client side process i.e., our focus is to improve the client side user experience. For the same the most important thing is to collect every possible client side data through the UI tool. If we have enough information on client side, then we can manipulate those data for providing better user experience. Similarly we must acquire the information of the browsing device to provide optimum user experience. This can be achieved with information like width and height of the device, and orientation of the device etc so that we can test the application thoroughly for different scenario. Without optimisation we can’t provide better user experience. Hence we must test if every possible optimisation rules are strictly followed or not in the application. If not, we should report the same to the Python developer for improvement. Along with that, sometimes we must keep some snapshots of bugs in the application so that the developer can debug it easily. Again we should keep track of every test case that we have implemented on the application for future purpose.Don’ts for UI Automation: As a smart automation tester, you should avoid unnecessary script running to decrease the time and effort. Similarly we should also avoid frequent running of small test scripts for the application rather we should write a compressive test case for the purpose. A smart Python UI automation tester should avoid multiple log operation in the application to avoid unnecessary time loss. Long time-outs are usually given by the tester in order to check the application thoroughly; but sometimes it becomes an inefficient process. Hence we must avoid long time-outs in our application for efficient UI testing. Many UI testers have a tendency to quit the testing tool after each and every test-case gets executed and then launching it again. This is really a bad habit and it not only takes unnecessary time but also hampers the productivity of the software firm.
Mindfire Solutions is one of the premier Python development companies in India and has been providing quality software development services to its esteemed clients for over 8 years now. Our senior Python and Django developers have delivered more than 50 custom Python and Django projects for our clients. Our Web Development Team is 15 years old now and equally adept in various web technologies like Java, ASP.Net, ColdFusion, Ruby on Rails, PHP and Front End technologies like HTML5 and JavaScript to name a few. If you have a rich web application and you need to upgrade/maintain the same or a new web application idea in mind, please feel free to write to us at Sales at MindfireSolutions Dot Com and we will revert back within one business day.
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