The main objective of running parallel testing is to reduce the time and effort required to run automated testing in the browser while at the same time guaranteeing quality by using the Selenium Grid. Executing faster tests and a higher number of tests results in more frequent software version releases and increases the number of detected errors.
The math is simple. Parallel testing can prevent delays in delivery without compromising quality, making it superior to sequential testing. It also reduces quality assurance expenses as well as the cost of failed tests. Additionally, it optimizes processes and improves scripts continuously to obtain more accurate results. What is first search in AI?
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Parallel Testing Vijay Kumar March 05, What is it? How Does it Work? However, carrying out parallel runs simply means running your old payroll software parallel to your new software and then comparing the results —hence the name.
The payroll cycles you choose for this kind of test should reflect normal payroll cycles in order to provide an accurate representation of how the new system will perform during regular payrolls. If you choose to test irregular payroll cycles that involve unusual changes, such as numerous salary increases or new hires, this may increase the likelihood of error.
To run a parallel test, you need to complete the following steps:. If your payroll is run by an accountant or bookkeeper, they should be the one carrying out the parallel runs. This not only provides an opportunity for hands-on training, but it also helps to catch any errors before the new system goes live. However, carrying out parallel runs does add to the workload of the payroll administrator. Generally, two payroll cycles are used for parallel testing.
Of course, every organization is different, so the optimal time and method of parallel testing may vary from business to business.
If you notice a discrepancy, it should be noted, highlighted, and then categorized based on the cause of the error.
Some of the common causes of discrepancies can include:. After identifying any discrepancies, these issues should be addressed as quickly as possible. Once corrected, further parallel run testing should be carried out to produce more accurate results.
This gives your QA team a chance to improve their testing practices and pinpoint bugs faster. Transitioning your QA regime from sequential to parallel testing is a huge undertaking if you try to do all at once. Starting small might be your best bet. You can begin with the test cases that are most adaptable to the parallel testing environment, giving your engineers enough time to adjust the rest of the tests. Many companies switched to parallelism only in some instances and avoid parallelizing all their QA processes.
Infrastructure limitations, data dependencies, poor test cases data management and hard-coding are the most common constraints. The good news is there are ways to nail them down and reap all the benefits of it properly. Implementing a parallel testing strategy using in-house resources is one of the most typical mistakes.
Building and maintaining your own infrastructure is not efficient. Also, keeping your testing environment up-to-date requires a lot of resources. Dependencies between different test cases are a primary reason why transitioning to parallel testing is so challenging for many teams. Simply put, when test cases are dependent on each other, you should run them in a particular order, which can destroy any parallel testing strategy.
So, it is critical to creating your test cases to be atomic, independent from each other. Only then, you will be able to run them at any time and in any order, making your testing processes free of constraints.
Hard-coding is embedding data directly into the source code instead of generating it at runtime. This notion is an enemy of efficient parallelization since it creates dependencies between test cases, mentioned above. It is strongly recommended to avoid hard-coding values when scripting your test cases to ensure that each of your tests is self-sufficient and can be run whenever necessary.
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