Quality engineering and test automation consulting

A suite accumulates. Tests are added against defects, against features and against audit requirements, and each is reasonable in isolation. What accumulates alongside is duration, flakiness and maintenance cost.

There is a threshold past which a red result no longer prompts an investigation, because experience says re-running is faster. From that point the suite provides no signal while still consuming maintenance, and the organisation is paying for confidence it does not have.

Recovering from that state is rarely a matter of adding tests. It usually means removing them: identifying the small set that genuinely detects regression, making that set fast and reliable, and deleting the rest.

Strategy answers what is tested, at which level, and what evidence a release requires. Without it, tests are written at whichever level is most familiar, which is usually the most expensive one to maintain.

We work from business risk: which failures would be most costly, which paths carry them, and what would have to break for the failure to reach production. That determines where the testing effort goes.

The same defect can be caught by a unit test in milliseconds or by an end-to-end test in minutes. The level is an economic decision, and pushing everything to the highest level is the most common and most expensive error.

We place logic tests at unit level, integration boundaries at contract or component level, and reserve end-to-end tests for the small number of journeys where the value is in the journey itself.

Test data is the usual reason tests share state and become order-dependent. Where creating a scenario is slow, engineers reuse fixtures, and the suite acquires coupling that produces failures unrelated to the code under test.

We design data creation to be cheap so each test can own its state, and we handle production-like data through masking or synthesis rather than copying, which is both a privacy and a stability problem.

Most integration defects are contract defects: a field changed meaning, an error case was handled differently than documented, or a version was assumed compatible.

Contract tests catch these at the boundary, quickly, without requiring both systems to be running. For estates with many services this is usually the highest-value automation available and the most commonly missing.

Automated accessibility checking detects a meaningful but limited portion of WCAG failures. Reporting it as full conformance is a claim the tooling does not support.

We integrate automated checks into the pipeline for the failures they reliably catch, and define the manual assessment — keyboard operation, focus order, screen reader behaviour — that covers the remainder. Both are necessary, and we are explicit about what each provides.

The most common engagement is not building a suite but recovering one. The instinct is to fix every failing test, which is expensive and frequently misdirected.

We start by establishing which tests have ever caught a real defect. Suites typically contain a large proportion that have never failed for a genuine reason and a smaller set doing all the work. Making that set fast and reliable — and deleting a great deal — usually restores trust faster than repair.