QF-Test with long standing experience in insurance software
The insurance industry is modernizing and digitalizing its business units. Nothing must go wrong, the insurance processes must work smoothly! Here QF-Test comes into play that tests the application with regression tests or ai-driven testing
Several insurance providers trust in QF-Test for many years when testing process-critical insurance software.
Everything you need for good test automation of insurance software
Typical challenges in testing insurance software
The insurance industry places exceptionally high demands on software quality. Errors in application processing, claims systems, or rating engines can be more than just costly – they undermine customer trust and risk serious regulatory consequences.
Case Studies and Experiences from Long-Time QF-Test Users
Test automation as a response to regulatory requirements
The insurance industry is one of the most heavily regulated sectors of all. New legislative requirements, changing supervisory rules, and internal compliance policies regularly drive software updates – and every change must be thoroughly tested.
Demonstrating software quality
Regulatory authorities don’t just require working software – they require proof of its quality. QF-Test automatically generates detailed test reports (HTML or XML) that serve as documentation for internal audits and external reviews.
Reproducible tests for regulatory changes
Whether it’s updated policy disclosure documents, revised premium rates, or modified cancellation rules – every regulatory change triggers software updates that must be fully retested. With QF-Test, existing test suites rerun at the push of a button, with no additional manual effort.
Solvency and Internal Control Systems (ICS)
An effective internal control system requires that critical processes are verified regularly and traceably. Automated UI tests with QF-Test make a measurable contribution: daily regression tests document traceably that core processes such as policy underwriting, premium calculation, and claims handling functioned as expected at the time of the test run.
GDPR- and Privacy-Compliant Use
QF-Test runs locally within your own IT infrastructure – test data never leaves your organization. This greatly simplifies compliance with data privacy requirements, particularly when testing systems that process personal policyholder data.
FAQ – Frequently asked questions about test automation in the insurance industry
Decades of industry experience, stable tests despite frequent releases, and built-in compliance documentation – QF-Test is tailored to the requirements that typically arise in the insurance industry.
Deep industry experience: Leading insurers like Swiss Life, ÖBV, and Bitmarck have relied on QF-Test for years – with proven solutions for typical insurance scenarios.
Stability despite frequent changes: Robust component recognition keeps tests stable even after UI updates or framework migrations (e.g. Java Swing → JavaFX).
Built-in compliance documentation: Automatically generated test reports support documentation requirements for regulatory authorities and internal control systems.
Data privacy through on-premise deployment: QF-Test runs locally within your own infrastructure – sensitive policyholder data never leaves your organization.
Long-term ROI: Once created, test suites run reliably for years – Swiss Life has been using QF-Test successfully since 2012.
ROI depends on the scope of testing – but many customers report noticeable relief within just a few months.
Once created, test suites run reliably for years, replacing time-consuming manual regression tests. Swiss Life has been using QF-Test successfully since 2012. The higher the share of recurring test tasks, the faster the investment pays off.
Implementation can be done step by step – without a big-bang migration and without disrupting existing processes.
QF-Test can be introduced gradually: starting with a pilot project for a single process or application, then expanded step by step. Quality First Software supports you with training, consulting, and workshops – to make the onboarding as smooth as possible.
Yes – thanks to keyword-driven testing, tests can be created and maintained without any coding knowledge.
With the keyword-driven testing approach, functional testers can define test cases in a clear, tabular format – without writing a single line of code. Developers set up the technical keywords once, and the QA team uses them flexibly. ÖBV successfully applies this approach in practice.
Yes – QF-Test has proven experience with the most common insurance platforms.
QF-Test is successfully used for testing adcubum SYRIUS (Centris AG, Switzerland) and EVApro (Swiss Life). Thanks to its flexible component recognition, QF-Test can be adapted to virtually any Java-based or web-based insurance application.
QF-Test is known for its robust component recognition – a key advantage for frequently updated insurance applications.
QF-Test’s intelligent object recognition identifies UI elements using multiple attributes – not just IDs or positions. This makes tests significantly more resilient to changes. Even during major migrations, such as the switch from Java Swing to JavaFX at Centris AG, existing tests could largely be reused.
QF-Test is designed for use in modern DevOps environments and integrates seamlessly.
QF-Test offers native support for common CI/CD tools such as Jenkins, GitLab CI, and Bamboo. Tests can be executed fully automatically within the build process, and results are transferred directly to your existing reporting and ticketing systems such as Jira.
Yes – QF-Test is one of the few tools that supports all three technologies within a unified test environment.
With QF-Test, you can test Java applications (Swing, JavaFX, SWT), web applications, and mobile apps within a single tool – with a shared test base, unified reporting, and centralized management. This significantly reduces tool sprawl and maintenance overhead.
QF-Test is particularly well-suited for transition phases – existing tests can often be largely reused.
During the migration of adcubum SYRIUS from Java Swing to JavaFX, Centris AG was able to largely continue using existing QF-Test test suites. QF-Test supports both technologies in parallel, allowing tests to be migrated step by step – without disrupting ongoing operations.
Yes – QF-Test can automatically verify PDF documents such as insurance policies or claims reports.
With QF-Test’s PDF testing functionality, generated documents can be automatically checked for content, structure, and accuracy – ideal for insurance policies, premium statements, or claims reports. Learn more on the PDF testing page.
Automated tests and detailed test reports provide a documented contribution to quality assurance as required by Solvency II and internal control system requirements.
After every test run, QF-Test generates detailed reports (HTML or XML) that document which processes were tested, when, and what results were achieved. These reports can be used as part of quality documentation for internal audits, reviews, and regulatory inspections – whether they are sufficient in a specific audit context depends on the QMS and internal processes in place.
Yes – QF-Test runs locally within your own infrastructure and does not transfer any test data to external services.
Since QF-Test operates entirely on-premise, sensitive insurance and customer data never leaves your corporate infrastructure. There are no cloud dependencies and no data transfers to third parties – a key requirement for privacy-compliant use in the insurance industry.
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