We hope you enjoyed our first installation of this blog post, where we dive into some of the pain points unique to healthcare domain testing and explore their solutions. Whether you have access to a QA partner, or you’re taking on the challenge of healthcare software testing in-house, this article should help you navigate the road ahead!
When it comes to building and testing software products, the healthcare domain is one of the most rigorous and unique areas to work. Product companies in this space are helping doctors, patients, and other medical professionals reimagine what’s possible with wearable technology, hospital indexing systems, and countless other innovations.
The complexity of these new products demands testing that is thorough and stringent, as the quality can directly impact a patient’s life. Other high-stakes factors to consider are the cost and worth of the product to the customer, the protection of private and confidential patient data, and the safety of all patients or caregivers who interface with the product.
As helpful as it would be to have a one-size-fits-all approach to software testing, there simply isn’t one-and there probably never will be. Why is that, you ask? The answer is deceptively simple: every product and product team is different. Needs vary greatly from company to company and industry to industry, making it tough to prescribe a set, uniform testing approach. For some companies, a long-term partnership with a dedicated QA team is the right choice. For others, on-demand, ad-hoc testing will suffice.
With so many factors affecting your decision to find a QA partner or just stick with ad-hoc testing, how do you make the choice? The best place to start is understanding the key differences between the two approaches.
By now, most product companies are familiar with the benefits of outsourced QA, the biggest one being the lower cost for a potentially higher headcount. Some are even familiar with the big advantages that come with outsourcing to places like India: the culture of leadership in IT, the experience of many of the engineers, and the time difference that allows Indian teams to test while U.S. teams sleep are just a few.
The Internet of Things, also referred to as IoT, is all about unifying the smart objects that surround us. These are objects that we instinctively think of as “smart,” like our phones, tablets, computers, and other personal, digital devices. But the IoT umbrella also includes things that we might overlook cars, bicycles, home alarm systems, coffeemakers but which have the capacity to generate, store, and share vast amounts of information about us, their owners and users.
Startups are defined by speed and scrappiness. Think breakneck time to market, lean teams that push the limit of what can be done in a day, and releases that prioritize big, innovative leaps over more gradual, iterative perfection. The people who work at these companies value this pace-the lifestyle is part of the draw, and it’s why so many budding startups staff up so quickly with accomplished, credentialed rockstars.
What’s at the intersection of development, QA, and IT operations? DevOps! When we say DevOps, we’re describing the Agile relationship between your dev organization (including QA) and your IT team. DevOps is transforming the software development lifecycle, enabling teams to work faster and in closer collaboration. This relationship was borne out of a need for increased development and testing speed and high-quality products that delight customers and contribute to the rapid growth of the businesses that build them.
While change is imminent, normal, and healthy, manual testing isn’t going anywhere. It will be around for as long as the end user-your customers-are human.
Whenever any new feature is added or modified in the application, it raises the chances of breakage in the existing functionality, which might create bad user experience. To verify the application from end user’s perspective, it’s always better to have the application manually tested by domain experts who are able to imagine and execute complex business-specific scenarios (Click to Tweet). This sort of rigorous, critical thinking is uniquely human, and it cannot (yet) be replicated by test scripts.
APIs, or Application Program Interfaces, have become an integral way of connecting people, their devices, and the information they need. They allow different applications to interact with one another and transfer data back and forth—they’re the main vein for app integrations and single sign-on functionality, and are essential to the rise of the Internet of Things (IoT).
There are plenty of benefits and advantages to API testing, but the high-level ones that matter most to engineering teams and the larger business are improved test cycle coverage, better Agile processes between dev and QA teams, huge time savings, and the ability to test the application in any core language.
Automation is rapidly changing every industry it touches—especially the software and IT sector. By implementing automation, QA teams can increase their throughput by huge factors, save time, cut costs, and improve the overall quality of the product they ship. With all of these benefits, who would avoid switching over to automation?