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Here, learn all about parallel testing, the benefits it provides testing teams, and common challenges you may run into.
Parallel testing is a method of concurrently testing multiple applications or application components in order to reduce overall test execution time. You can parallel test at scale by integrating test automation frameworks with a cloud-based solution, which takes care of device management.
The opposite of parallel testing is sequential testing. This entails executing one test after another. This is a much more time-consuming approach to testing.
In parallel testing, a tester runs two or more versions of software concurrently with the same input or test methods. Alternately, a single version of the software can be run simultaneously across multiple devices or desktop OS/browser combinations.
By integrating test automation frameworks with a cloud-based solution, which takes care of device management, you can easily scale automated test across platforms in parallel.
Related Reading: Choose Your Devices for Parallel Testing With Perfecto's Test Coverage Guide
The main benefit of parallel testing is that it accelerates execution across multiple versions. Here are a few more benefits to consider.
From a speed to execution perspective, consider this. If a singular test takes one minute to execute and you run 10 tests synchronously, the total time to execute all tests takes 10 minutes.
However, if you run that same test that takes one minute across 10 parallel devices, the total test time takes just one minute. This can provide major time savings when testing at scale.
Improved test coverage is another benefit of parallel testing. It allows you to test across more mobile devices or desktop OS/browser combinations at once. Extended test coverage mitigates risk and reduces the chance of releasing with escaped defects.
Related Reading: 5 Things to Consider When We Talk About Test Coverage
All too often, testing is the bottleneck of DevOps. Tedious testing holds up the entire cycle. But parallel testing helps you remove the bottleneck, accelerating testing and significantly reducing the risk of on-going quality visibility.
Parallel testing also allows for bug fixes during the sprint rather that after. This significantly reduces developers’ bug fixing time and gives them more time to innovate and create new features, rather than just continually fixing bugs.
As with any type of testing, you may run into some difficulties in achieving full-blown parallel testing.
A common challenge that teams face has to do with scalability and the availability of a secure, enterprise-grade lab that meets their requirements.
While DIY testing labs are typically considered, managing and maintaining an in-house lab is difficult and costly. It’s much more difficult to scale an in-house lab. Plus, scaling requires a significant IT investment.
An always-on, always available fully-managed lab with commonly available devices and instances of OS/browser combinations is a requirement for conducting parallel testing successfully.
A lab like Perfecto’s test cloud has all the platforms you need to test against, so scaling with parallel testing is easy. Plus, you can apply real user conditions for more accurate testing.
Related Reading: Cloud Testing Is More Critical Than Ever
Parallel testing is a critical component to any DevOps testing strategy.
It can help you tackle the mountain of permutations to test in a timely manner. By saving you time, and thus reducing costs, parallel testing is a valuable addition to your testing.
Perfecto can help your team achieve parallel testing in the cloud. With Perfecto, you can:
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Senior Solutions Engineer , Perfecto
Leslie Tan is a Senior Solutions Engineer at Perfecto. He’s been in the testing space for the last six years across desktop web, mobile and performance, and availability testing. Helping DevOps professionals understand that continuous testing is key to their success is what keeps him up at night. He postulates that a solid CI/CD testing strategy is key to an organization’s success in this digital transformation era. Prior to that, he spent over nine years at Microsoft as a Solutions Engineer and Technology Strategist for state and local government.