Software testing

When this service helps

Software testing: your brief for us.

Reduce manual regression testing
Safeguard critical business processes
Test load and failure behavior before launch

We assess software against agreed functions and quality goals. A risk-based test strategy combines fast unit tests with integration and end-to-end checks. Depending on the engagement, we add load, security and recovery tests. What matters is not automation alone, but which business risks are tested and which limitations of the results are documented.

What the assignment can include

Test strategy with quality criteria under ISO 25010 and a test pyramid per application
Unit and integration tests with xUnit or Jest, end-to-end tests with Playwright
Load tests with k6 against documented targets for response time and throughput
Static analysis with SonarQube, dynamic testing with OWASP ZAP, dependency scanning per build
Test reports and release records as evidence for audits and regulators

We define the specific scope, acceptance points and your involvement in the proposal.

The context at a glance

From uncertainty to a release backed by evidence.

01
Risk
Prioritize critical processes
02
Testing
Choose suitable test levels and data
03
Finding
Investigate defects transparently
04
Release
Assess results and residual risks

Planning, implementation and decisions

What matters for Software testing.

01

Focusing test effort where defects become expensive

Not every screen and every line of code carries the same risk. We start with business-critical workflows, permissions and data changes. Together with the business unit, we define expected results, negative cases and quality goals. High test coverage alone is not a sufficient measure of how safe a release is.

The test concept assigns checks to the right levels: fast unit tests, integration and contract tests, and a selected set of complete user journeys. Manual exploratory testing remains useful where new interaction logic, unexpected combinations or business exceptions are examined.

02

Automation the team can trust

Flaky tests are quickly ignored. That is why we focus on controlled test data, independent execution and clear error messages. Depending on the test goal, external dependencies are either simulated or specifically checked in an integration environment. Broken tests and actual product defects need separate ownership.

The test suite becomes part of the development process and receives the same care as the application code. We document which checks run with every change and which ones need additional time before a release. Findings are meant to give developers a reproducible starting point for fixing defects.

03

Testing performance, security and release readiness transparently

Load tests are based on realistic user workflows and data volumes. Besides response times, we look at the error rate, resource usage and behavior under overload. Before testing against production-like systems, limits and protective measures are agreed. A simple peak figure without its test conditions would not be reliable evidence.

Automated security checks complement quality assurance; they do not replace a dedicated penetration test. For the release, we bring together results, known limitations and open risks. Who is authorized to accept these risks and when rework is required is defined before the release.

For business owners and technical teams

The decisions behind the implementation.

04

From business risks to traceable test coverage

A high number of passing tests says little if the decisive business case is missing. We map requirements, risks and checks to one another. For an approval process, this includes, for example, unauthorized role changes, parallel processing and expired deadlines. Boundary value analysis and various combinations of inputs complement the usual success cases. Expected results are justified on business grounds instead of merely recording the current program behavior.

For every important rule, we choose the appropriate level. Small, isolated tests check calculations quickly; integration tests check how the application works together with a database or service; a few targeted end-to-end tests secure complete workflows. Test doubles simplify checks but can give a false picture of the real counterpart. We therefore record which assumptions still need to be verified against real test systems.

05

Test data, flaky tests and pipelines that produce meaningful results

A test must control its own starting state. Shared accounts, fixed calendar dates and test runs that depend on one another produce failures that disappear on the next attempt. We plan restorable data sets, separate test identities and controlled handling of time. Synthetic data can specifically cover typical cases; its distributions and relationships still need to match the intended use.

Flaky tests are investigated rather than permanently masked with unlimited retries. A test that is temporarily excluded needs an owner, a rationale and a plan to bring it back. Test reports distinguish product defects from problems in the test environment. For fast feedback, suitable checks run early in the pipeline, while time-consuming load or compatibility tests run at defined points. This makes the release decision understandable instead of merely dependent on a traffic-light color.

06

Load, recovery and release under failure conditions

A load test starts with a usage model: which transactions occur, how often, how large are the data volumes and how many users work at the same time? Averages can hide slow outliers. We therefore look at response time distributions together with the error rate and resource utilization. Load spikes, extended continuous operation and slow dependencies answer different questions and are not blended into a single metric.

We also test agreed failure scenarios in controlled environments, for example an unreachable service or an aborted background job. What matters is whether data stays consistent, users receive understandable feedback and operations detects the disruption. A release report states the test status, environment, data basis, results and open risks. It shows which statements are reliable and which areas lie outside the tested scope.

Results you can verify

What you take away.

Result 01

Test strategy with quality criteria

Result 02

Automated test suite in the pipeline

Result 03

Test reports and release records per version

Example project flow

This is what the engagement can look like.

A digital application process is changed frequently. Automated tests check mandatory fields, role changes and data handover. A load test examines the expected peak load; the release record documents remaining limitations.

Illustrative scenario, not a customer reference or a guarantee of results.

This helps you get started

Critical user workflows and known failure patterns
Test environment and suitable test data
Planned load, release frequency and acceptance criteria

Missing documents are not an obstacle. We work out together which information needs to be gathered first.

Your project in detail

Test quality where errors would cause the most damage.

We develop a test strategy based on the risks of your product. Automation, manual review and business acceptance complement each other; a large number of tests alone is not proof of quality.

Choose test depth by risk and frequency of change

Calculations and business rules can often be tested quickly in isolation. Interfaces need contract tests, while selected core processes should run through the entire application. We distribute the tests so that errors are found early and feedback remains usable during development.

Manual exploratory testing examines behavior that is easily overlooked in predefined test cases. This includes unclear feedback, unusual sequences of input and switching between devices or roles. The results are described as reproducible findings with impact, not just as a blanket judgment about the user interface.

Create reliable test data and release criteria

Tests need known starting states and a controlled environment. We keep synthetic or suitably prepared test data separate from production data and take permissions into account. Unstable tests are investigated, because false alarms that are routinely ignored weaken confidence in the entire test effort.

Before a release, we define which findings block it and who may approve remaining risks. The report shows the scope tested, the results and the gaps. Security reviews, load tests and accessibility reviews are planned separately depending on the engagement; they are not automatically covered by normal functional tests.

Illustrative project scenario

How the service helps in everyday use.

Example: A SaaS application introduces a new billing model. We test calculation rules in isolation, the handover to the invoicing system as an integration and a small number of complete customer journeys. Special cases such as a plan change mid-period receive targeted business reference cases.

This example explains a possible process and is not a customer reference.

Before you place an order

Your questions about Software testing.

Is complete test coverage the goal?

Not as an end in itself. What matters is whether important rules, integrations and error cases are tested. We prioritize by risk and by how meaningful a result is. A code coverage metric can help, but on its own it says little about the quality of the test cases.

Can tests be added retroactively?

Yes. For existing applications, we often start with critical workflows and characterization tests. Better isolated unit and integration tests are then added step by step. The approach is aligned with maintenance and further development instead of rebuilding the entire code base at once.

What is the difference between quality assurance and a penetration test?

Quality assurance systematically tests agreed functions and quality characteristics. A penetration test specifically investigates exploitable vulnerabilities within the authorized scope. The two complement each other but use different methods and produce different evidence. You can arrange a penetration test separately through our cybersecurity services.

Useful combinations

Software consulting Custom software Web portals & apps Modernize software Develop interfaces DevOps & releases Software maintenance

The next step

Tell us where things are stuck today.

A short description of your application, the problem and your goal is enough to get started. The selected service is carried over into your contact request.

Request this service

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