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Service · Software testing and QA

Test automation

Automation pays for itself through repetition, never through prestige. One release a quarter and it costs more than it gives back. A delivery every Thursday and manual checking becomes the slowest part of the whole chain: the release date stops belonging to development and starts belonging to however long it takes to click through the same screens again. Plenty of software teams end up spacing their releases out, not from caution, but because verifying eats too many hours.

Send an enquiry What the work covers
Pace
a regression pass inside a coffee break
Every build
checked with nobody watching
Selection
what repeats, not what is rare
Failures
the exact step, captured and filmed

Where this service reaches

Automating everything is not the aim. Scripts go where things come round often and have settled down. Chasing a high coverage figure costs more than the defects it would prevent.

Put your scope to an engineer

The payback sum

The hours swallowed every month by manual checking today, weighed against what writing and then maintaining scripts will cost. Sometimes the answer reads: script a third of the scenarios, and not one more.

Interface tests

Playwright or Cypress on the web side, Appium once a handset is involved. Selectors hang on attributes added for testing rather than on CSS classes, so recolouring a button never takes down half of the suite.

API tests

Quicker and far steadier than driving a browser. Anything needing no screen moves down to this level: discount rules, VAT calculation, status transitions, permission checks.

Test data

Every run builds the accounts and records it needs, then tidies them away. Nothing trips over anything else, and no real personal data takes part at any point, which settles a GDPR question along the way.

Wiring into CI

Triggered by each merge request, under Azure Pipelines, GitLab CI or GitHub Actions. Anything red holds the deployment before the defect can reach your users.

Reporting failures

A screenshot, a video and the logs from the exact instant of the break, with a notification into Teams or Slack. Ten seconds are enough for a developer to tell an environment problem from their own change.

The way an engagement runs

Dates for the first scripts in production sit in the plan. The relief becomes noticeable once sign-in and the ordering journey run by themselves on each build.

01

Taking stock

What exists already, what proves unreliable, what deserves keeping. Starting from nothing is seldom necessary and never free.

02

Foundations

Test project structure, parallel execution, data handling, reports that non-technical people can read too.

03

Coverage

First come the journeys whose failure costs most; each week you get the list of what now runs unattended.

04

Upkeep

Scripts updated at the pace of the product, and anything crying wolf without cause taken out on the spot.

An unreliable test does more damage than no test at all. Once a suite fails one time in five for no reason, the team reruns the build from habit and stops reading results; genuine defects drown in the noise. Scripts of that sort get repaired the same day or deleted without sentiment. What you want at the end is a green pipeline nobody feels the need to doubt.

Questions and answers

They will not. A script replays quickly and tirelessly whatever somebody has already described. It will never find the problem nobody thought of inside a brand new feature, which stays human work. Automation takes away the routine, not the people.

Rare releases, throwaway prototypes, an interface redrawn every month. Scripts then need rewriting sooner than they earn their keep, and the budget vanishes into their upkeep.

A sensible amount, not a maximum one. In most cases the revenue-earning journeys plus the areas with a history of incidents. Aiming at a percentage mostly yields tests written to flatter the figure.

Your call entirely. Either we keep going under a monthly plan, or your team takes the suite over, with documentation and a workshop held over video. Test code sits in your own repository from the first day, and the contract settles who owns it.

More from this area

See the whole area
Service Functional testing Proof that the product behaves the way the brief says Service Load and stress testing Finding out what happens when everybody arrives together Service Usability and UX testing Watching real people meet the obstacles in your interface Service Penetration testing An intrusion attempt run under contract and written consent

Work out what is worth scripting

Give us your release rhythm and the hours manual checking eats. The sum showing whether scripts pay off comes back to you.

When we are around
Weekdays, 8:00 to 18:00 CET; answers land inside one working day
Talking it through
A call on Teams or Google Meet, whenever writing is not enough

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