Are You Using Metrics for Your Automated Testing Services?

It’s standard practice for companies to monitor APIs during production to ensure that the live API endpoints are up, functioning quickly and returning expected information to the user. That way, testing teams know whenever something breaks down and can fix any issue before users notice any discrepancy.

But what if consumers find issues related to the API issue before you do? And what if the problem is more serious than slowness?

QA managers are tasked with continuously finding ways to improve quality assurance and overall software integrity, but are also asked to find ways to increase productivity of team members. But, between rounds of testing and writing up issue reports, there never seems to be enough time to carry out these changes.

Increasing productivity of your QA team doesn’t have to be difficult. Targeting easy wins allows for more time to implement additional tactics that improve team productivity. And since there are a lot of tasks that QA teams tackle, increasing QA productivity can help successfully drive a company’s revenue growth.

Here are 6 ways to increase productivity within your QA testing team:

Nothing is more frustrating than funding a test automation project that results in endless time and resources to maintain , or worse, funding one that requires re-building after six months. Often a test automation strategy fails because the objectives were not identified early on or the scripting strategy excluded considerations for long-term maintenance.

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.

Quality is the true measure of product success. Poor user experience or application performance negates any advantages you achieve in delivery speed or production cost. Put simply, if it does not work, it is not worth producing.

It is, therefore, critical to our product success that we can accurately measure and track test results to ensure our testing is delivering against our business goals. Understanding software quality metrics, especially in automated testing, helps us identify what is working well and what needs improvement.

The breadth of expert testing required to bring a healthcare app to market can be overwhelming. The final product has to be robust enough to handle large flows of electronic health information across intricate interoperable networks while conforming to high transport, terminology and security standards. As quickly as possible. 

On top of all that, a single flaw within this heavily regulated industry can render the product useless and your reputation as a developer seriously damaged.