It is no secret that Software Quality assurance is most critical to unlock the real value of your investment in software infrastructure. You may spend a fortune to install and implement the world’s best software, but if it doesn’t perform up to its true potential, your investment may not yield expected results. Software Quality Assurance is one of the key areas of focus for any organization using software as part of their IT set up or those who are about to deploy new apps or platforms. Typically, businesses look at specialists to do this job to ensure their software performs the way it was meant to when it was installed – whether on premise or on the cloud.
Test automation is the practice of executing tests automatically, managing test data, and using results to enhance software quality and productivity. It’s a measure for assuring quality of the software, however, it requires the involvement of the entire software production team and users across departments.
A test needs to meet certain conditions in order to be automated—else it might not yield intended results and the effort involved may go waste. One of the primary objectives of test automation is to save time, effort, and money. We have enlisted some general criteria for test automation. These may differ depending on the needs of your business and the use cases.
Naturally, a test must be repeatable. There is no reason to automate a test that can only be run once. Typically, a repeatable test consists of the following three steps:
You want to run the test in a consistent state. Which means, once the test is complete, the test environment should be restored to the original state.
A determinant function is akin to consistency. It implies that if a test is fed the same input, then the outcome will be the same every time. Consistency is key to establishing stability and robustness of the software. The same can be said for tests that can be automated.
Enterprise software typically works with a significantly high number of variable inputs that it’s not possible to have the same result over time. In fact, some variables may even be random, which can make it all the more challenging to determine the specific outcome.
There are numerous types of tests, many of which can be automated, which makes it difficult to address all of them here. But here are usual suspects to get you started.
There are many different types of code analysis tools available in the market today, including static and dynamic analysis. These tests may look for security flaws, or style and form. These tests run as soon as new code is checked in. Testers can configure rules and keep the tools up to date and automate these tests.
Unit tests test a single function, or unit of operation in isolation. These tests don’t depend on databases or external APIs. They are fast and are designed to test the code only, not any external dependency.
Integration tests are whole new challenge altogether. Integration tests, as the name indicates, needs to interact with external dependencies, and therefore they are more complicated to set up. Often, test teams create virtual external resources, especially when they have to deal with resources beyond their control. For example, if have a logistics app that interacts with a third-party web service, your test may fail unexpectedly if the web service is down. That does not necessarily mean that there’s a bug in your software. You should have enough flexibility to regulate the test environment to create each scenario virtually. Stay clear of dependence on external factors to determine the efficacy of your software.
Automated regression testing ensures apps still function as they should after they have been updated with new features, functions or fixes.
Performance tests can be of many kinds, but they are all designed to test some aspect of a software’s performance. How does it hold up against extreme pressure? Are we testing the response times on high loads? Is the software scalable?
Sometimes these tests require simulating a huge number of users and/or transactions. In such a case, it’s important to have a test environment that can handle such a request.
A smoke test is a basic test that’s usually performed after an alpha deployment or during a maintenance procedure. The objective of a smoke test is to ensure that all services are up and running. It’s not a functional test. It can be run as part of an automated deployment or activated with a manual step.
There are typically 6 primary steps to Test Automation.
System Study and Testing Scope Definition
Test tool selection
Define Framework and set up test environment
Develop Test Cases
Test Reports and Analysis
Testing automation tools allows us to optimize our testing effort while delivering maximum results to ensure you have high-quality software running in your organization. These are only some of the tools we use for our Automating Testing services. As a rule, we choose the automation tool that fits the unique needs of your business
The crux is that test automation helps improve quality of the software installed, and at speed that cannot be achieved manually. Having said that, not all testing can be automated. With so many types of tests, it’s important to establish the right mix.
Test automation is the obvious evolution for teams that are getting overwhelmed by the burden of repeating the same manual tests that should and can be automated.
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