QASource Blog

In modern software development, testers work in compressed cycles, and automate regression tests to save costs, time and effort. Insprint test automation provides an ideal development scenario, wherein, the entire process from creation to implementation and performance reporting of a software product happens in one sprint.

Before the remote working era, QA members used to either share devices for manual testing or run the automation suite on multiple devices using a hub. Check how QASource uses cloud infrastructures for automation testing.

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.

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.

We are all restricted by limitations, from the business models we use to every system that guides us through software development and quality assurance. The key is to understand these limitations so that your team can overcome them - and be stronger for it.

The innovation of automation in the field of development has been one of the biggest in the technological field. However, in order to gain expertise, these skill sets are often difficult and require consistent time and effort.

The evolving automation testing ecosystem has led to automation frameworks being optimized to ensure comprehensiveness, speed, and maintainability. It is a tried and tested best practice that we will discuss in this expert series.

The stats don’t lie: mobile devices account for half of web page views around the world. This shouldn’t surprise us, since more than 75% of Americans own a smartphone with one in five American adults opting for a smartphone-only lifestyle. That’s why product developers are adopting a mobile-first strategy. And since Android dominates the mobile OS market, it only makes sense for QA testers to become fluent in Google’s digital language.