QASource Blog

In quality assurance, automation testing is one of the quickest and the most effective methods for checking the efficacy of software or an application. However, like most processes, be it a company’s business model, or the software development practices, automation testing has its own set of limitations.

Codeless automation testing allows teams to comprehensively test software applications without the associated costs and set up time that traditional automation testing involves. In our most recent infographic we illustrate what codeless test automation is, go over the benefits it can provide teams, and present the best codeless test automation tools on the market.

The financial services sector is constantly evolving. Increasing investor scrutiny, changing market trends and constant technological developments have made it imperative for financial institutions to harness the latest technology to provide quality customer service.

The use of artificial intelligence in test automation is one of the latest trends dominating the quality assurance industry. In fact, in Capgemini’s survey titled World Quality Report 2020-2021, 21% of IT leaders said that they are implementing AI in some form or another in their testing methodologies, while only 2% said that AI has no part in their future planning.

MFA creates multiple layers of protection that make it harder for any unauthorized user to access an application. If one layer breaks, the attacker still has to break through more barriers to get access, which is not an easy task.

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.

Artificial neural networks are programs inspired by the human brain. A variety of industries are now utilizing them, but a few leading the adoption of ANN include the manufacturing, security, and healthcare industries.

Test automation metrics are the secret weapon of successful QA teams. In fact, the right automation coverage metrics provide an unbiased, deeper understanding of your QA process so that you can identify and fix pain points while improving your team’s performance and efficiency.