How COVID-19 Changed Quality Engineering
Which post-pandemic quality engineering processes are here to stay, and how can your business adapt for the long term?
Organizations have adapted to most of the operational impacts of the COVID-19 pandemic, resulting in new ways for employees to stay connected, businesses to stay familiar with customer expectation and day-to-day workflows to stay efficient in a digital environment.
However, even as strict public health measures ease, it is clear that some of the less obvious changes are also here to stay. In fact, according to one study of CEOs, many believe that the digitization of their services accelerated by three to four years during the COVID-19 workplace disruptions. Even more so, these executives believe that these changes are long lasting and they are willing to invest in making them permanent.
Among the changes, businesses have also had to adapt how their quality engineering activities are performed, and the role that software testing plays in delivering reliable, relevant and responsive products.
So which post-pandemic quality engineering processes are here to stay, and how can your business adapt for the long term?
An increase in testing volume
As more organizations see the value of digital transformation and flexible software for their customers and employees, quality engineers are going to see their workloads continue to increase.
Having access to industry-leading software testing tools can help track statuses across a portfolio of testing efforts and streamline the minutiae of a specific test run. This will allow quality engineers to not only manage more end-to-end testing efforts by reducing manual and administrative tasks, but also ensure that systems requiring more intensive load and performance testing get the robust analysis they need.
A need for more platforms to test against
In the wake of a fast, unexpected push to remote work, organizations had to ensure their applications, services and software were able to function across a broader range of end user platforms.
This means your quality engineering processes and tools have to be flexible enough to test across more end-user platforms—perhaps even running different versions of software or patch levels—to confirm that functionality, user experience and performance are as expected.
Leveraging the power of artificial intelligence and machine learning can help to not only speed up this process, but also reduce the chance of costly human error or oversight that could impact the quality of the product further along in the development lifecycle.
A continued focus on quality and speed
Although there has been flexibility when it comes to where and when work gets done, the standard when it comes to quality has never wavered. Add in what seems like an ever-growing demand for speed from customers and executives, and the role of quality engineers throughout software testing becomes even more important.
This is why bringing in a software testing services partner with a combination of expert-level experience and industry-leading tools can help organizations equally prioritize quality and speed. Armed with industry knowledge and a suite of testing tools powered by automation, machine learning and artificial intelligence, a quality engineering partner can streamline your testing without sacrificing quality or, more importantly, brand reputation.
Maintain your competitive edge
Although it is difficult to predict what hurdles await businesses in the years to come, it is clear that the new role quality engineering plays in meeting customer demands and delivering sound products in a digital environment is here to stay.
So perhaps the more important question is: Does your organization have the tools, training and processes in place to meet this continued demand?
If you answered no, then our experts are ready to solve your testing challenges with our industry-leading services and tools, which leverage the power of automation, artificial intelligence and machine learning to deliver efficient, comprehensive testing that you can rely on.