QA Solutions for the Mining Industry: Ensuring Reliability at ScaleMining Tech
As adoption grew, the client needed stronger QA practices to handle the volume and complexity of real-world mining datasets. V2Solutions was engaged to modernize testing, introduce automation, and ensure reliability at scale.
challenge
- Limited Test Coverage: Testing focused mostly on “happy path” scenarios, with little coverage for negative inputs, edge cases, or load conditions.
- Scalability Uncertainty: Simulations used only small payloads (10–15 stations), with no clarity on performance across hundreds or thousands of stations.
- Testing Ownership Gaps: With no dedicated QA team, developers tested their own code—creating bottlenecks and risks of bias.
- Documentation & Automation Barriers: API specifications existed but were restricted, limiting opportunities to auto-generate test cases.
solution
V2Solutions introduced a comprehensive QA framework with automation, negative testing, and pipeline integration:
API-Centric Test Strategy: Prioritized high-value endpoints (assignment, approval, viewing, and integration APIs). Built robust tests to validate persistence and query reusability.
Unit & Integration Enhancements: Adopted NUnit for .NET, standardized payload-driven tests, end-to-end flows, and error-message validation.
Negative & Edge-Case Testing: Designed scenarios for invalid IDs, corrupted payloads, and large dataset simulations, including timeout and degradation cases.
Automation via API Specs: Leveraged API definitions to auto-generate regression cases across 100+ endpoints.
CI/CD Pipeline Integration: Strengthened pipeline hooks for full test suites, introducing smoke, regression, and performance test categories.
Collaborative QA Ownership: Transitioned to a dedicated QA team, while rotating developers on tickets to ensure impartial validation.
Outcomes
- 3x Increase in Test Coverage: Expanded beyond happy path to include negative and performance testing.
- 40% Faster Defect Detection: Issues surfaced earlier in the pipeline, reducing rework cycles.
- 60% Faster Regression Cycles: Automated test generation significantly cut regression timelines.
- Validated Scalability: The platform proved capable of handling large-scale mining datasets with confidence.
- Strengthened Customer Trust: Improved system stability and accuracy boosted user confidence.
Talk to our experts and learn how we can help you achieve your growth goals
V2Solutions brought the QA rigor we needed—our drilling data platform is now faster, more reliable, and trusted to perform at scale.
Let’s work together
Unleash your ideas, goals, and vision. Join us on the journey to remarkable results.