Top Test Automation Methodologies and How to Make the Most Out of It
Software testing has become an integral part of today’s software development life cycle, allowing companies to deliver robust, high-quality products. Before, manual testing was the first choice for software testers across the globe. However, frequent updates to the web or mobile applications in modern times would make manual testing time-consuming. That’s where automation testing comes into play. It automates repetitive tasks and provides faster results.
78% of the organizations worldwide use automation testing for functional or regression testing. Also, the automation testing market will become $40 billion by 2027. Therefore, software testers should move to test automation methodologies. However, not all test automation projects deliver successful results because they’re not following the best practices or methods laid out by experts. So, if you’re someone who wants to make most of the test automation, be right here.
This blog will provide you with some of the top test automation methodologies. It will also discuss how to make the most out of these best practices. So, let’s get things started.
Top test automation methodologies
- Don’t rely entirely on automation tools
Automation tools are essential, but relying entirely on them could prove fatal. Although many people think choosing the right automation tool is sufficient, that’s not the case. There are cases when automation tools can provide false-positive or false-negative results. Therefore, having the guidance of experienced and skillful testing professionals is paramount. They would help you know whether you’re following the right path or need to change anything significantly.
- Decide what to automate
One of the most fundamental rules for success in test automation is deciding which test cases to automate. But, of course, you can’t automate everything. So, determining which test cases to automate on priority would lead to a successful tenure.
Here are some of the most common scenarios for which automation testing would be effective:
Tests that can cause human error
Tests that require repetitive run
Tests that need to deal with multiple data sets
Tests that involve frequently used functionalities
Tests that you can’t perform manually
Tests that you need to run on numerous hardware or platform
- Avoid GUI automation whenever possible
GUI automation is a challenging task compared to other automation testing types. So, if there’s a situation where you can have an alternative to GUI testing, you should consider that option. For example, if you want to check the installation of an application, either you can start the installation process and move step-by-step or use the command line approach with no GUI involvement. In the latter case, you can achieve your objective in lesser time and more reliably.
- Identify the process
Before going into the execution side of things, you should identify the process for a full-fledged test automation service. It will allow you to allocate the right resources at the right time and mitigate any risks that may arise during the process. Also, once your testing team knows the process they need to follow, they could divide the task and create a roadmap for success.
- Select the right automation tool
There are plenty of automation testing tools available in the market. The challenge is finding the one that suits your methodology and is familiar to your software testing team. Here are some of the critical points that you should consider for selecting an automation testing tool:
Support for platforms and technologies
The skillset of your testing team
Easy to use and understand
Support for record and playback of test cases
Facility to create reusable and maintainable test cases
Integration with your existing ecosystem
Ability to test enterprise-level applications
- Create quality test data
Creating high-quality test data is paramount for successful data-driven testing. It would become your input for automated tests, and the output will be in external files. For example, the data might be from a database or another source. A good automation testing tool understands data and then creates a process for further iterations. Furthermore, using external data sources makes your automated test cases reliable and easier to maintain than ever before.
These were standard test automation best practices that one should follow for automation testing. It would help you get more success in your projects for software testing. Also, it would allow you to accomplish a particular goal that you wish to fulfill during your testing procedure.
Conclusion
Test automation is the new-age software testing philosophy that will dominate the software industry with continuous deployment and release. That’s where automation testing could be the best bet. Here, we have provided some test automation methodologies that will help you utilize automation testing effectively. What are your thoughts on this subject? Is there any method or best practice that you follow precisely? Do let us know in the comments section.
Thanks to the author for the described tips that will help improve the quality of the test automation process and get the most possible benefit from the introduction of this technology https://www.cleveroad.com/blog/test-automation-roi/
Great article Hardik. Faker.js is great for randomizing but you would need to store the randomized value to do an assertion later on. We have built https://preflight.com to test with faker.js out of the box.
For example: for signing up you'd need new emails each time. We can generate unique email addresses each time and test received emails as well