Software and automation testing service companies are gearing up for quality outputs at a consistent speed. Whether it's continuous testing, Agile, or bringing AI into automation, the software development process must stay on track and in line with swift technological changes. So to stay ahead of the game, you should adopt practices like parallel testing, which will save you time and effort.
So what exactly is Parallel Testing, and why is it so special?
It is a semi-automated testing process involving cloud technology and virtualization, a new framework technique that carries out tests on software products against multiple configurations simultaneously. The costs and timelines are significantly lower than traditional testing methodologies, and the ultimate goal is to resolve the limitations while still assuring quality. The process involves using separate virtual machines within the cloud since parallel testing runs more tests. Invested testing time split by the number of test machines put into use can easily be a fraction of the time involved in sequential testing.
Let’s understand the benefits of Parallel testing:
Speed - You only need the appropriate test scripts, so you don't need extra hours or any more computers than you already use.
Affordability - Constructing and maintaining an internal testing infrastructure means that test time on a cloud service becomes viable as it is inexpensive in comparison to traditional testing methods.
Full compatibility - The limits of sequential testing often mean you can only test the most likely scenarios. Parallel testing is unlimited; this means you can check all combinations that are useful to users.
Continuous and concurrent timing - The process can test functionality both regularly and swiftly. New code can be submitted while testing is ongoing as it supports and optimizes the widely-used methodologies of Continuous Integration and Delivery (CID).
Current and updated - If you're always using the latest versions of applications and software, it likely means that you believe in cloud technology.
Results-driven - Testing more scenarios in less time means there is more actionable data towards improvement.
Flexibility - You can revert to sequential testing whenever necessary and therefore make your testing process to suit your needs.
Adaptability - Transitioning to parallel testing in gradual steps is easier for companies.
Now for the downside of Parallel testing:
Infrastructure constraints: The cost to set up the test environment can take a toll on the company's finances as the infrastructure and maintenance cost quite a bit. Mobile and networking devices will also add up expenses. You will need to hire skilled professionals to maintain the setup as well. Instead, companies can opt for cloud-based services that can be accessed from anywhere anytime and get the desired devices to test on.
Dependency on data: It is difficult to make a strategy for parallel testing if the test cases are dependent on specific data. Test scripts that are data-independent should have required configured data for the test run, and then the scripts can be modified to run in parallel.
Test and QA automation services companies like Codoid, adopt parallel testing to establish dominance in the software industry in terms of qualitative outputs in shorter periods. Clients who employ a company like ours can be sure to reduce their costs and time to market quite considerably. Our suggestion would be to go in for a cloud platform to track issues better. You can connect your Github or Jira or set up continuous integration with Jenkins, automatically running tests with every new build. Parallel testing is thus an extension of the logic that applies to all IT sectors and radically transforms testing by focusing on practicality, ease, affordability, speed, and scale.