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These days software firms are putting in a lot of effort to attain quality at speed. Whether it’s continuous testing, agile or bringing AI into automation, it is required to refine the software development process to keep up with the rapid technological changes. The best way to do that is to adopt practices like parallel testing which will save time and effort. So let’s get into the details of parallel testing and understand the benefits and challenges faced to implement it into the software development life cycle.
To perform parallel testing you can simply create slave projects for the different functionalities of the app and a master project that will run these projects.
Parallel testing is done to make sure if the new version of the app works fine or to check the consistency between the old and the new version. It can also be done to check the integrity of the new app and the data format between the versions. When a company is moving from the old system to new system and synchronization is performed, it becomes necessary to check the legacy data is imported from one system to another and all the outcomes are defined more accurately especially in the financial domain.
Parallel testing has become a need for the QA teams as the benefits cannot be neglected. Let’s have a look at some of the benefits of performing parallel testing.
Parallel testing has its own sets of challenges and It is always better to get familiar with the issues before making a decision. Although there are solutions to these challenges which are also mentioned below. Infrastructure Limitations: The cost to set up the test environment can take a toll on the company’s finance as the infrastructure and maintenance will cost a lot. Mobile and networking devices will add to the cost. Also, the company will have to hire highly skilled professionals just to maintain the setup. Instead of this companies can opt for cloud-based services like pCloudy where they will get all the desired devices to test on which can be accessed from anywhere anytime. Data Dependencies: It might be difficult to make a strategy for parallel testing if the test cases are dependent on some specific data. So if we take a case of sign up page. There can be test scripts running for a user login but if not done in a sequential manner then any other script might run first which would delete the user credentials form the database. Another script might also run which will require a user to enter the data. In this case, it will be difficult to integrate the scripts into parallel testing due to data dependencies. This is why it is required to write the test scripts which are truly data independent. Therefore the test scripts should have the configured data which is required for the test run and then the scripts can be modified to run in parallel.
To sum up, parallel testing reduces the effort and time spent on testing the app by multiples. It also increases your test coverage and helps provide a better user experience. The best way to do parallel testing is by using the cloud platform as you will not have to invest in the infrastructure and you will be able to access the devices from anywhere anytime. So if your testing team is distributed across the globe, this will be your best option and all that extra money saved in the maintenance can be put to good use for some other feature development process.
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