Every deployment that leaves Shelorve is properly tested — not smoke-tested under time pressure at the end of a sprint. Test automation, defect pattern analysis, and CI/CD quality gates are how we work, built in from day one of every engagement.
Talk to a Principal →Our Approach
Shelorve embeds quality engineering from sprint one. The test strategy is defined before the first line of code is written. The test suite is a first-class deliverable, maintained with the same standards as the application code it covers.
When the engagement ends, the client inherits a test suite that covers the system — not a set of manual test scripts nobody will run, and not a coverage report that looks complete but tests the wrong things.
Quality engineering at Shelorve creates leverage. Not just volume.
Test strategy defined before code is written
Quality gates are designed in from day one — not retrofitted when a release is under pressure.
Test suite as a first-class deliverable
Maintained to the same standard as application code and handed over at engagement end.
Coverage proportionate to risk
High-risk, high-defect areas get full coverage. Low-risk, stable areas get lighter coverage.
Toolset selected for the stack
Jest, Playwright, Provar, Great Expectations — the right tool for the technology, documented and handed over.
What We Deliver
Four capabilities embedded in every Shelorve engagement — not sold separately and not optional.
End-to-end automated suites built from sprint one — unit, integration, and end-to-end tests designed around the actual business processes the system supports. The suite grows with the codebase and is handed over as a maintained, first-class deliverable at engagement end.
Analysis of defect history to identify the components and code paths generating disproportionate production incidents. This shapes test prioritization and informs architectural decisions — fixing root causes of defect clustering rather than building an ever-larger test suite around code that should be redesigned.
Every commit triggers the relevant test suite. Failed tests block promotion to the next environment. Defects are caught within hours of introduction — not weeks later when someone runs the regression suite before a release and discovers something three sprints old is broken.
Designed into the program from the start — not bolted on before go-live when the architecture cannot change. Load profiles built from real usage data and peak scenarios. Go-live is not the first time the system has run under load.
Quality Engineering · Common Questions
How We Deliver
Test automation · CI/CD · defect pattern analysis · performance testing
Senior engineers · AWS · ML · Salesforce
How We Deliver Application Managed ServicesPost-go-live accountability · continuous improvement
How We Deliver Program GovernanceMilestone tracking · risk management · reporting
Tell us about your current quality situation — test coverage, defect rate, release confidence. We will tell you what needs to change, how to change it, and what a realistic outcome looks like.