PVCASE
Ensuring Reliability of Solar Planning Software Worldwide
PVCASE is a global leader in solar design and optimization software, acquired from Anderson Optimizations, a company I supported that specialized in solar panel site analysis. Their platform allows users to evaluate potential solar farm locations by analyzing mapping data with inputs like sun exposure, geography, and environmental conditions.
Start Your Project
Project Overview
This analysis is critical for zoning and planning solar installations worldwide. I was brought in to strengthen their automated testing strategy, with a focus on validating the highly interactive mapping workflows at the core of the application. By building robust test coverage around PVCASE's complex geospatial workflows, I helped the engineering team confidently ship new features without breaking critical analysis tools. The result was faster development cycles, fewer regressions, and a QA foundation that scales with the product as it continues to expand globally.
Key Features
✓Expanded and fully integrated their Cypress testing framework, which had only minimal coverage when I joined
✓Developed automation for technically challenging UI interactions, including map layers, canvas rendering, zooming, panning, and area selections
✓Built a reusable Page Object Model (POM) structure to simplify and scale test development across the QA team
✓Integrated automated tests into GitHub Actions, running against staging and production builds to gate deployments
✓Set up failure reporting and alerts for the QA team, ensuring new features and regression risks were quickly identified
The Result
By building robust test coverage around PVCASE's complex geospatial workflows, I helped the engineering team confidently ship new features without breaking critical analysis tools. The result was faster development cycles, fewer regressions, and a QA foundation that scales with the product as it continues to expand globally.