nRoads Case Study – IT Services & Consulting
nRoads refines the way businesses harness information from structured and unstructured data from diverse document types, transforming complexity into clear, actionable information. CONVUS combines advanced deep learning with scalable architecture
Time to coverage
2 weeks
to 60+ test cases per app
Automated tests delivered
60+
tests per app
Release cadence
Sprint
aligned releases, CI/CD-integrated
Auto-healing effectiveness
50%+
reduction in testing time
Problem
- nRoad has web app with multiple roles such as maker, checker and admin. They had partial automation with Playwright, and we were tasked to provide complete test automation for each role
- CI/CD integration was important for automated deployment
- Along with testing of UI, they needed testing with unstructured documents
Intervention
- Implemented automation with 60+ test cases for each app in just 2 weeks
- Tested apps on multiple browsers and implemented assertions that involved document content
- Provided synchronous and asynchronous APIs with webhook for automated deployment
Measurable Outcomes
- For each new release of Apps, QASolve maintains the tests, including adding new ones as needed
- QASolve’s Success team is part of the nRoad’s sprint planning meetings to trigger new discovery and test generation
- By Fri AM ET Jira tickets are created for Issues that need to be addressed by their engineering team
nRoads Auto-Discovery
Auto-discovery involves systematically navigating through the application across all user journeys, identifying individual elements such as buttons, forms, links, menus, and other interactive components. Additionally, it captures how users interact with these elements, including sequences of actions, page transitions, and the overall flow of user interactions.
KNOWLEDGE GRAPH OF DISCOVERY
30 Pages
3244 Components
5912 Elements
9,590 Events