Software testing teams today incorporate automation test platforms that speed up entire processes in the software development lifecycle (SDLC). These automation test platforms utilise parallel testing techniques that help alleviate bottlenecks by essentially halving test execution times and enabling software testing teams to locate and fix bugs early.
By utilising special software tools and solutions, we can speed up the execution of tests. The best part is that all of this does not require any intervention on the QA technician’s behalf. This especially gets rid of the need for any repetitive, redundant and unskilled tasks. This is true for regression testing as well, where testers can expect a 15% increase in efficiency and time savings.
Methods to speed up automation testing
Despite the host of advantages it brings, automated testing still relies on a certain level of proficiency to work. This is basically to write scripts as well as to maintain any data files. You can achieve faster testing by refining your current automation strategy and by adjusting your current processes.
Not everything needs automation
It’s understood that automating your tests can help you speed up things quite considerably. But automating the wrong type of test cases can have the opposite effect. And besides, most software testing companies still indulge in manual testing. Knowing when to apply automation and when to stick to manual testing is important. You can read all about it here.
Reduce regression rates
Regression tests should ideally be automated. Programmer expectations can differ greatly from the customers, so it is important to check unit tests and their expected results. By doing so, you will cut down on any communication barriers in these service tests that may exist between testers and creators and create a more robust interface check.
Flakey tests to be removed
False negatives can slow you down. To get around them, try and deal with them head-on by separating known flakey tests before running the test again. This way, you’ll know that anything that fails afterwards you’ll know is legitimate.
Alongside knowing what needs automating, development teams must also know how far the automation should go. Automating code that seldom breaks but often changes will create high-maintenance efforts and slow down your QA.
Instead of considering automated testing as the be-all-end-all of testing, it is important to incorporate regression test checks to verify if anything is actually broken and then utilise manual testing for risks.
Scalability issues can cause testing efforts to commonly slow down because of the time and effort it takes to create and maintain them. Most companies today run automated test processes and manual tests in conjunction to give faster feedback.
Parallel testing can save time, increase coverage and speed up tests by concurrently verifying the compatibility of recently developed functions with the old ones. So once appropriate test scripts have been generated, no additional effort is required.
Methods to speed up testing
Here are a few guidelines to keep in mind if you’re looking to write tests that work well in parallel.
Be clear and concise
Just like is the case with any other endeavor, clear planning is the pivotal element. Try making sure that the scope of each test is well understood and concise. Explaining needs like whether the tests are for a single feature or multiple can be beneficial. Also, is your team going to be using defect tracking tools to track necessary code changes and comprehensive results?
Teams can’t anticipate every scenario even though you can automate explicit expectations. To get around this hurdle, it is important to use investigative, exploratory testing to unearth additional information about how the software actually works.
Don’t reinvent the wheel
Similar to automated testing, frameworks for parallel testing already exist. Instead of spending a lot of time generating scripts and tests for every execution, reuse the processes that you have either already made or look for one online that best fits your needs.
How to highlight problematic areas
If you’ve been in the business long enough, you know that software projects are a level more complex than they used to be and proper organisational culture is crucial for success. Having a few standardized project management processes can mitigate some of the stress and confusion.
Communication is vital
Understanding that your team is the most important element of your software project is vital. To keep them efficient and effective, you’d need to be communicating with them so they can remain on the same page as everyone else. This is true for documenting and reporting too, and you’d need to brief them of what’s new, what’s needed, and what’s fixed as well.
Keep files organized
A messy organizational tactic can be disastrous very quickly for any team. This is why issue tracking tools are utilised to help sort everything out. If you’re not using one, make sure that all the test files are named appropriately and all tests within it have clear and informative names.
Ensure quality throughout
Ensuring the quality of the end product isn’t just down to the QA team. Doing so can devalue the development process. Software teams are made up of a number of stakeholders – developers, testers, designers – and they are all responsible for delivering the highest quality standards in the final product.
Know that testing takes time
Despite being a time-consuming part of the SDLC, testing is often constrained more than other areas of development. Understanding that quality is one corner that simply cannot be cut is important. Also, note that parameters like product maturity and test execution can take time. Planning for it can only benefit your team in the long run.