Testing software for banks and financial service providers

Extensive industry experience: Financial institutions such as Hamburger Pensionsverwaltung eG and B+S Banksysteme AG have relied on QF-Test for many years – with proven solutions for typical banking scenarios.

Stability despite frequent changes: Robust component recognition keeps tests stable even after UI changes, framework migrations (e.g. Java Swing → WebSwing), or release upgrades.

Built-in compliance evidence: Automatically generated test reports support documentation for regulatory examinations, internal audits, and frameworks such as MaRisk, BAIT, and DORA.

Data privacy through on-premise deployment: QF-Test runs locally within your own infrastructure – sensitive financial and customer data never leaves your organization.

Long-term ROI: B+S Banksysteme has been using QF-Test successfully since 2006 – test suites built once run stably for years.

QF-Test tests banking software through its graphical user interface – regardless of whether it is implemented as a Java application (Swing, JavaFX, SWT) or as a web application. This covers core banking systems, online banking portals, inventory management systems, credit decision systems, and other financial applications. The flexible component recognition can be adapted to virtually any banking application.

After every test run, QF-Test generates detailed reports (HTML or XML) documenting which processes were tested, when, and with what results. These reports can be used as part of quality documentation for internal reviews and audits – for example within the scope of MaRisk, BAIT, or DORA. Whether they are sufficient in the specific audit context depends on the respective QM system and internal processes. The same applies to cross-industry requirements such as SOX or ISO 27001.

QF-Test’s intelligent object recognition identifies UI elements based on multiple characteristics – not just IDs or positions. This makes tests significantly more robust against UI changes, framework updates, and release cycles. B+S Banksysteme explicitly highlights the stable component recognition despite continuous development of UI elements and Java versions as a central advantage. During migrations, existing test suites can often largely be reused.

Hamburger Pensionsverwaltung eG uses QF-Test for exactly this: consistent end-to-end tests between the Java-based inventory management system and the web portal applications. Errors at system interfaces are caught early – before they affect production or audit reports.

Test suites built once run stably for years, replacing costly manual regression testing after every release or regulatory update. The larger the share of recurring test tasks – booking workflows, payment approvals, product configurations – the faster the investment pays off. B+S Banksysteme has been using QF-Test group-wide since 2006; Hamburger Pensionsverwaltung since 2010.

With the keyword-driven testing approach, functional testers can define test cases in a clear, table-based format – no coding required. Developers set up the technical keywords once; the QA team uses them flexibly. In banking, this is especially valuable: subject matter experts from credit, securities, or pension administration are often the best testers for their own processes.

QF-Test can be introduced step by step: starting with a pilot project for a single application or core process, then expanded incrementally. Quality First Software supports the onboarding with training, consulting, and workshops – so the start goes as smoothly as possible, even in complex, grown IT landscapes.

QF-Test offers native support for common CI/CD tools such as Jenkins, GitLab CI, and Bamboo. Tests can be executed fully automatically as part of the build process, with results fed directly into your existing reporting and ticketing systems such as Jira. Every software release is automatically checked for quality – with results immediately available for both the team and auditors.

Banking software continuously generates PDF documents: account statements, loan decisions, annual reports, product information sheets. With QF-Test’s PDF testing feature, these documents can be automatically checked for content, structure, and computational accuracy – for example, whether balances are correct, required fields are present, or legally mandated disclosures are properly rendered. This eliminates time-consuming manual review after every release.

Because QF-Test is deployed entirely on-premise, highly sensitive financial data – account information, credit data, pension entitlements, customer records – never leaves your organization’s infrastructure at any point. There are no cloud dependencies and no data transfers to third parties. For banks and financial service providers, this is an important prerequisite and significantly simplifies compliance with data subject rights obligations in the testing process.