Altezza tests software, either on its own or alongside one of the development teams. Functional, smoke, integration, performance, UI/UX and load testing, shaped around your product and how often you release.
Our team works with software at every stage, from early prototypes to mature platforms handling significant traffic and complex legacy systems. The testing approach is tailored to the current state of the product and the way your team releases software.
Most projects combine manual and automated testing. Manual testing helps uncover usability issues, edge cases, and problems in new features, while automated testing supports regression, smoke, and critical user flows within CI pipelines. We work with Selenium, Cypress, Playwright, Appium, XCTest, Espresso, JUnit, and pytest.
Testing can cover the entire application stack, including APIs, web and mobile interfaces, performance, accessibility, and basic security validation. Issues are documented with clear reproduction steps, supporting materials, environment details, and prioritization, making them easy for development teams to address.
Whether you release weekly, monthly, or quarterly, the QA process is aligned with your delivery cycle, helping ensure every release is ready for production.
We check that the product does what the requirements say, feature by feature. Test cases come from the spec when there is one, and from the real flows when there is not. You get a coverage report against the agreed scope – what passes, what fails, and anything extra we found along the way.
A short, deliberately shallow pass over the core flows after every build. Smoke runs in minutes, not hours, and answers one question: is this build worth running the full suite on? Useful as a gate in CI and before every release.
Tests at the function and component level, written next to the code by the developers who own it. We set the coverage targets, the conventions and the CI gates; the developers write the cases. Catching bugs at this layer is cheaper than catching them later by an order of magnitude.
We check that components and services work together correctly – API contracts honored, error states handled, data shapes consistent across boundaries. These tests catch the problems that only show up when the pieces meet.
Measuring how the system behaves as load grows – response time, throughput, error rate, where the bottleneck moves. We use k6, JMeter or Gatling depending on the protocol, then walk the team through the chart and the call to action.
Real users on real devices – exploratory testing against the design system, accessibility checks (WCAG 2.1 AA), keyboard navigation, screen-reader passes. The output is a list of usability issues with screenshots and a suggested fix where one is obvious.
Sustained traffic, beyond short peaks. We simulate a realistic mix of users and requests over hours – or days when needed – to surface memory leaks, connection-pool exhaustion and the slow problems that only appear over a long run.
Send a short brief. A reply usually arrives within a working day with rough estimates and next steps.
