Endurance testing in software testing is a kind of non-functional test that is performed to evaluate the software applications’ behavior under high loads for an extended amount of time. It is performed during the last stage of the performance run cycle, and sometimes, can last for as long as a year.
There’s no doubt that automation testing is the quickest and most cost-effective method of QA testing. However, it cannot do everything, since some limitations of automation testing are built into the system and must be balanced against manual testing, while some are the result of inexact pre-programming, such as a failure to develop effective automation test hooks.
Let's look at some of the drawbacks of automation testing:
The use of AI in software testing is geared towards making the software development lifecycle easier. Through the application of reasoning, problem solving and machine learning, artificial intelligence can be used to reduce the tedious and manual aspects of software development and testing, and automate the whole process.
What is automation testing?
Automation testing is the software testing process of running test cases by using automated testing tools. With this type of testing, QA teams can perform tests faster, receive more accurate results and address code defects sooner.