QASource Blog

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.

We are now living in a world that’s driven by data, where huge amounts of information are being gathered and stored daily. The more data that an organization generates, the more crucial it is to have the ability to access and analyze it effectively. Unfortunately, data analysis is considered to be a weak link for many companies today. This is primarily because of selecting the wrong type of data storage systems while performing ineffective analytics. One way to improve analytics is by acquiring an enterprise-grade data warehouse. This is where OLAP in a data warehouse comes in.

Companies are aware that they need to identify any security vulnerabilities present in their products early on in the process, which is why SAST and DAST are quickly becoming integral parts of software development processes.

Artificial intelligence or AI is one of the trends that is highly in-demand in the quality assurance industry. By implementing AI in the test automation framework, QA engineers can expect faster release cycles and businesses can provide good customer experience.

In this version of the experts series, we will discuss the common challenges with testing microservices i.e. the sheer number of services that make up an application, as well as the number of dependencies between the services.

Speed is always a priority in software development. From development to testing, everything should be executed quickly. In a well-planned software release strategy, both speed and quality are of the essence. So let’s take a look at the steps that can help you optimize your existing release management process.

Data migration is the process of transferring data from one application to another, and can take place due to the following reasons: An application upgrade A new platform of the same domain is introduced Your organization wants to move from one application to another

Chat applications have become an easy and convenient way for people to communicate with each other anytime from anywhere. Check out the best practices of performance testing for messaging applications in this expert series.

Every business desires to expand its user base. However, most applications never accomplish their goals because of poor design or application implementation errors that do not keep every type of end-user in mind. So, does your testing strategy include accessibility testing to make it accessible to all?