QASource Blog

Every single delay in launching your product hurts your brand image, and drastically reduces your potential customer base. Being late, by a day, hour or minute means that someone else gets the first chance to impress your potential customers with a solution to their problem. You may have a better product, but if the first application a customer tries is “good enough,” you may never get the chance to prove you can do things better.

There was a time when we lined up on a Friday to draw enough cash from over the bank counter to see us through until Monday. Now it is quite possible to go entire weeks without using cash at all. The digital transformation of business has raised consumer expectations such that they expect to be able to pay for everything—from pizzas to plane tickets—without having to open their wallets. The demand for truly secure, effortless, seamless, faultless digital transactions puts pressure on developers to produce perfect POS software.

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.

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.

As the COVID-19 pandemic shook the foundation of the global economy, organizations started preparing for the future in a completely new landscape. Many software companies started looking for QA solutions to achieve a higher level of efficiency and productivity while minimizing costs in the long term. This shift in thinking has made automation testing imperative for software companies. Check out the infographic below for advice from our QA team on selecting the right Automation testing tools.

Collaboration is all about connectivity. Your users want to connect instantly with peers, ideas and data so that business processes stay on track and the creative development of business strategy is seamless. That’s why collaboration software products are a must-have for every company across all industries. And this instant connectivity wouldn’t be possible without the successful integration of APIs.

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.

Salesforce is a leader in the CRM space because of its customizable implementation options and integration capabilities with other applications. However, Salesforce testing that incorporates the cloud, security standards, Apex programming, web services, etc. calls for a comprehensive QA strategy.

Imagine using shared resources that are allocated dynamically, create flexible testing environments, and that simulate user scenarios and real-world traffic - that’s just some of the benefits of cloud testing.