QASource Blog

Automation wasn’t well-received when it was first introduced among the different industry verticals. Most companies were hesitant in employing this new technology simply because they feared what they didn't fully understand.

Software development is about creating computer applications by using one or more programming languages. Developing these programs consist of several steps known as the software development life cycle (SDLC).

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.

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.