Kenkou has created a custom software development kit that companies can use for various purposes: to enhance telemedicine, prevent and treat chronic diseases, run remote clinical trials, and more.
In particular, this cross-platform SDK enables applications to measure pulse through a smartphone’s camera, control a person’s pulse through breathing, and detect stress. Other development teams can implement this functionality into their applications.
Kenkou’s team needed a specialist to set up the QA process, test the application on iOS and Android platforms, describe its specifications, and control system compliance with medical certification standards.
The company requested:
The functionality of the platform is constantly evolving and extending. Along with the features mentioned above, the company keeps working on new capabilities and exploring ways to use smartphone hardware – particularly the camera and accelerometer.
There are three modes for Kenkou’s partners to implement the platform’s functionality. These options differ in difficulty, the scope of ready elements, and terms of certification. Therefore, each mode must be checked as a separate piece of software.
After the onboarding, the QA specialist started figuring out how the SDK worked and prepared a testing strategy.
Functional and UI testing made up the majority of the QA activities. It is a typical situation for software products under development. In addition to this, the QA expert:
Our QA expert worked full-time and participated in all dev, refinement, and SCRUM meetings, analyzing and explaining software particularities from user experience and compliance perspectives. Every time new features were announced or introduced, the QA engineer found critical questions that sometimes changed the approach to the development.
The development team was highly competent, so defects that break the intended feature flow were rare. Finding edge cases, however, is quite a frequent story. Such defects popped up on the border between different features and were quickly fixed. As a result, the platform was becoming more and more stable with every update.
The QA engineer joined all SCRUM meetings, wrote requirements specifications from scratch, and ran full regression before each new build. Edge cases found at feature boundaries were consistently resolved before release, making each update more stable than the previous one.
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