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. DeviQA was brought in to design and implement automation testing for LibreView, as well as to continuously optimize an automation platform. Our primary goal was to help Abbott release their complex product more frequently and smoothly, while also saving time for the team to tackle other serious challenges. By creating and setting up the automated test infrastructure, DeviQA significantly improved the QA process. The time of running smoke testing was reduced from 7 days to 1 day only. The time needed to execute smoke testing for individual countries – LibreView has 27 country versions – was also reduced by over 85%. Regression testing was automated as well, and the current test suite consists of 1700 tests supporting 4 web browsers. Our testing solution employs a keyword-driven methodology, emphasizing performance and flexibility. This approach also makes it easy for all team members to understand tests and their logic, enabling them to choose and run tests according to their needs and parameters. The shift to automation brought significant value to Abbott, enabling its internal manual QA team to focus on testing new features, creating new test cases, and keeping existing ones updated. This enhanced test coverage of Abbott products, leading to a higher level of user satisfaction.
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Compass has been developing a modern real estate platform that uses cutting-edge technology to create an intelligent and smooth experience for buying, selling, or renting real estate. It also features a web-based customer relationship management tool with a user-friendly interface that helps real estate agencies efficiently oversee and manage diverse communication activities. Building a QAOps team: Skills and roles you need Home / Case studies / The first modern real estate platform The first modern real estate platform DeviQA's team takes full responsibility for testing a real estate solution consisting of a web app and mobile apps. 2k+ Test cases added 85% Test coverage 1.6k+ Automation test scripts created 80% Automation test coverage 2.5x Faster time of regression testing run 800+ Bugs reported 400+ Bugs catched by automated tests 4k+ Feature tickets verified About project Compass has been developing a modern real estate platform that uses cutting-edge technology to create an intelligent and smooth experience for buying, selling, or renting real estate. It also features a web-based customer relationship management tool with a user-friendly interface that helps real estate agencies efficiently oversee and manage diverse communication activities. Before DeviQA 7 days to run regression testing 40+ minutes to run automated E2E testing on each pull request 50% of the application was covered with test cases 40% automation E2E testing coverage Global API endpoints were not covered by automation No load test scripts No mobile automated tests With DeviQA 2 days to run regression testing 10 minutes to run automated E2E testing on each pull request 85% of the application is covered with test cases 80% automation E2E testing coverage 500+ API auto-tests created for multiple endpoints Load testing scripts are executed simulating behavior of up to 1000 concurrent users 200+ mobile test scenarios have been added 4 test suites created from scratch for multiple newly developed features Integration of automated suites with multiple third-party services to increase application coverage Our contribution Team 8 full-stack qa engineers, 1 manual qa engineer Project length Since 2016 Technologies and tools Jira Confluence Twilio Datadog TestRail Postman PostgreSQL GitHub JavaScript TypeScript Cypress Cypress Dashboard Supertest Mocha Python Locust CircleCI Our engagement On this project, each of our QA engineers works independently to support their own development team and collaborates with a global QA team when needed. The project is extensive, and multiple development teams focus on their own specific tasks. DeviQA’s mission is to support these teams by providing comprehensive testing solutions. Our QA engineers actively participate in Business Requirement Specification (BRS) discussions and design testing strategies at the early stages of software development. All team members have the opportunity to contribute to feature implementation to ensure high-quality testing. Throughout our work on this project, we have implemented and maintained various solutions, including the following ones: 1. Configuration of a CI/CD tool (CircleCI) to automate test execution for specific microservices upon PR creation, schedule regression and smoke tests, and notify the team in Slack about job results, while also providing detailed statistical reports. 2. Execution of integration tests covering our application and third-party services, such as Twilio Flex, Gmail, Google Sheets, and Google Voice. 3. Development of a custom framework used to execute API tests for services. 4. Automation of UI tests that simulate real user interactions with the system. 5. Manual testing of iOS and Android mobile applications. All testing solutions for those parts of the application that we are responsible for are developed and maintained exclusively by our team members.