Recently, automated software testing has been broadly identified as a game-changer for software projects. With artificial intelligence quickly getting traction, total automation sounds like an imminent reality. Yet those jumping to conclusions gave birth to more common misconceptions associated with the way automated testing is implemented today.
Myth 1: Automation isn`t about cost-efficiency.
Fact. At the starting point, automated testing does need considerable investment. As the price incorporates both QA expertise and the set of needed tools, the costs might be unexpectedly higher. Yet organizations ripe the long-term advantages of well-thought-out automation.
The point is that this method is quite efficient for routine iterative tasks (e.g. functional checks). While manual QA takes much time to include each test, automation helps to efficiently handle human resources for the benefit of more complicated and strategic goals.
It is better off to increase testing coverage, decrease the risks of failure, and accelerate the complete quality assurance process in the long period.
Myth 2: Automated testing is more effective than manual.
Fact. These tests are different, both of them are equally important to obtaining the desired software quality. Despite the growth of artificial intelligence, it is still impossible to manage a fully automated QA procedure. Usability, smoke, exploratory tests often need a user-perspective and expert illustration of the way the software runs. Regression QA is, by contrast, a collection of repeating tests, and automation helps to move them every time the software features experience modifications.
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Myth 3: Automation brings perfect software coverage.
Fact. A 100% bug-free software is fiction, regardless of the testing type employed. For sure, with the help of data and configurations, automated tests do enhance the test coverage with a variety of browsers, operating systems, etc. In reality, automation is usually a portion of a full-scale QA procedure. When efficiently combined with the manual, the whole process drives to high-standard software quality. Anyway, the purpose of testing is to concentrate on the core issues that would impact business success and customer satisfaction. Some of the minor errors would never influence software performance, while critical errors are always a subject of attention for QA engineers.
Myth 4: Automated testing is a developer`s job.
Fact. Developers usually do unit testing, the method to isolate the smallest portion of code and check if it works accurately. Unit tests present developers with a clear picture of a code base and allow them to introduce the needed changes quickly. This is a regular part of a programming process, yet isn`t associated with software testing.
The role of a QA Automation Engineer is diverse. Although the tests they conduct do require programming and coding background, their previous task is to develop automated test scripts with the help of development frameworks and tools. The scripts would later describe the errors if any. Yet don`t get frustrated if the tests detect no bugs. This implies a “well-done” job for the developers who have been operating on your software.
Myth 5: Automation is a universal means of success
Fact. For now, it is impossible to fully implement the automated QA approach and reach the desired level of quality. There is no technical option to the human factor, user-perspective, analytical method that remains the key driver of effective software testing. Although you`ve heard about the AI approaches too often recently, the test scripts run well when integrated with the manual. Today, exploratory testing is a critical precursor to automation, since it needs an inherently biased method to checking the software.
The truth behind automated testing is its important contribution to software quality. However, this is not the time to think of it as the basis for a project QA procedure. We hope the myths above will help you to be notified and ripe the benefits of automated tests while acting on the project quality.
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