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QA for glucose monitoring system
A global healthcare giant relies on DeviQA for end-to-end test automation.
Technologies and tools
Jira
Confluence
qTest
Crowdin
ISOTrain
MS Office package
BrowserStack
Python
Robot Framework
GitHub
Postman
AWS WorkSpace
Team
8 automation QA engineers, 11 manual QA engineers
Project length
Since 2019
1.6k+
27
90%
1.5k+
X18
20+
70%
major bugs logged
10
About project
Abbott's FreeStyle Libre system is the leading sensor-based glucose monitoring solution used globally. The key component of this system is LibreView, a secure cloud-based platform for diabetes management. LibreView provides clear, user-friendly reports from compatible FreeStyle glucose monitoring devices, making it valuable for both healthcare professionals and patients.
The FreeStyle Libre ecosystem includes smartphone apps like FreeStyle and LibreLinkUp, as well as a cloud-based data system called LibreView. These tools enable users, caregivers, and doctors to access real-time glucose data and actionable insights, aiding in making the right treatment decisions.
By capturing and reporting data in real time, this system enables early clinical decisions, reducing the risk of patients requiring primary or emergency care through better management of their condition.
Abbott’s QA process before DeviQA
Regression testing required 2.5 weeks
Smoke testing required 7 days
Test cases were outdated
Test coverage was 50%
Supported localizations were not covered by testing
Regression testing covered 5 devices
No automated testing was in place
With DeviQA
Regression testing reduced from 2.5 weeks to 1 day
Smoke testing reduced from 7 days to 1 day
The number of relevant regression tests and test cases increased by 60%
Test coverage increased from 50% to 90%
DeviQA’s QA engineers covered 27 localized versions
Regression testing expanded from 5 to 20+ devices across different operating systems, screen resolutions, and browsers
DeviQA created 1,500+ automated test scenarios
Automated tests covered 70% of translations

Dale Vosburgh
Director, Abbott Diabetes Care
“They treat our automated testing project as a development effort rather than a testing effort, always anticipating next steps and improvements. Whenever we need changes, they’re able to respond quickly. They take on current problems and address future issues as well.“
Our engagement
Abbott engaged DeviQA in 2019 to design, implement, and continuously improve test automation for LibreView. The engagement focused on shortening regression and smoke testing, expanding coverage, and freeing Abbott’s manual QA team to test new functionality.
DeviQA built an automated testing infrastructure for LibreView and integrated the test suite into the continuous integration process. Smoke testing time decreased from 7 days to 1 day. Smoke testing time for each of LibreView’s 27 localized versions decreased by more than 85%. DeviQA developed 1,700+ automated scripts covering regression scenarios across 27 localizations and four web browsers.
DeviQA implemented a keyword-driven automation framework that supports reusable and configurable tests. Team members can understand the test logic and select test runs based on the required scenarios and parameters.
Automation allowed Abbott’s manual QA team to focus on new features, create new test cases, and maintain existing coverage. Across the engagement, test coverage increased from 50% to 90%.
Services provided
Services
Web automation testing
DeviQA developed 1,700+ automated test scripts covering LibreView’s regression scenarios across all 27 localizations and four web browsers. Integrated into the continuous integration process, the suite covered 90% of the application and reduced regression testing from 2.5 weeks to 1 day.
Services
Web automation testing
DeviQA developed 1,700+ automated test scripts covering LibreView’s regression scenarios across all 27 localizations and four web browsers. Integrated into the continuous integration process, the suite covered 90% of the application and reduced regression testing from 2.5 weeks to 1 day.
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