MedTech Robotics UI Automation Maturity Assessment
“We selected QA Consultants for their quality engineering expertise and deep automation experience. QA Consultants provided a set of automation recommendations for improving test coverage for our main product. We have since implemented their ideas, which resulted in immediate benefit – notably, capturing potentially expensive defects before production.”
— Head of software quality assurance
At a Glance
A surgical robotics company selected QA Consultants due to its deep software test automation capabilities and online case studies demonstrating successful outcomes and positive recommendations.
The client included QA Consultants’ recommendations in their improvement strategy plan and have already implemented some suggestions.
The Challenge
This surgical robotics company’s signature product is a vital surgical tool that can impact the life or death of a patient if performance is anything less than perfect. This requires comprehensive testing of both hardware and software applications. Immediate challenges included test coverage (automating almost three hundred test cases for the UI) and speed to release for product upgrades and software patches. Test automation was critical to enhancing both coverage and speed to release.
The Solution
The high-stakes, comprehensive test automation maturity assessment evaluated the surgical robotics company’s current state of automation, such as the discovery of artifacts, tools, processes, and skills.
Project Goals were two fold
Improve robotic surgical arm user interface test automation framework.
Transition the framework and automation management knowledge to the engineering team.
QA Consultants’ team, which included the chief automation architect who interacted with the surgical robotics company’s head of engineering, reviewed current tools and processes to deliver an actionable assessment.
The Results
Developed
alternatives for a near-term automation solution
> 25%
increase in testing coverage, improving defect prevention
Contributed
to reduction in treatment delivery risks
Enabled
improvements in robotic surgical accuracy