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DORA metrics are five key metrics used to measure software delivery performance, balancing how quickly teams deliver code with how reliably those changes reach and perform in production.

The metrics are deployment frequency, lead time for changes, change failure rate, time to restore service, and deployment rework rate. Software testing can influence all five. Fast, reliable automated testing can shorten the software delivery process and help teams deploy more frequently, while effective test coverage can catch problems before a production deployment, reducing failures and unplanned rework.

GUI testing checks whether a software application's graphical user interface works correctly from the user's perspective.

It validates the screens, buttons, forms, menus, links, and other interactive elements users rely on to complete tasks. GUI testing can be performed manually or through automated GUI testing, with test cases covering user interactions, business rules, responsive layouts, error handling, and UI functionality across different browsers, devices, and operating systems.

The goal is to make sure the application doesn't just work technically, but works correctly when real users interact with it.

SWIFT payment testing is the process of checking that international payment messages can be created, transmitted, processed, and confirmed correctly across connected banking systems.

It covers the complete payment journey, including message validation, payment routing, bank and counterparty integrations, security controls, error handling, and payment confirmations. A strong test suite should include successful transactions as well as rejected payments, unavailable systems, incorrect data, and other runtime conditions that could affect a real payment.

The aim is simple: find problems before they become failed or delayed payments in production.

SEPA testing verifies that payment systems can create, process, transmit, and receive SEPA payments accurately, securely, and in compliance with the Single Euro Payments Area (SEPA) standards.

It covers everything from validating ISO 20022 XML files and payment workflows to testing bank integrations, error handling, and payment confirmations. Effective SEPA software testing helps banks, fintechs, and payment providers reduce payment failures, ensure regulatory compliance, and deliver reliable payment services.

PSD2 testing ensures that banks, fintechs, and payment providers meet the functional, security, and regulatory requirements of the Revised Payment Services Directive (PSD2).

It focuses on validating open banking APIs, Strong Customer Authentication (SCA), consent management, payment flows, and third-party integrations. Effective PSD2 testing helps organizations deliver secure, compliant, and reliable digital banking services while reducing the risk of failures that could impact customers or violate regulatory requirements.

Self-healing tests help QA teams spend less time fixing broken automation.

Instead of failing whenever an application's UI changes, self-healing test automation can detect updated elements, repair broken locators, and continue test execution automatically. This reduces maintenance, keeps regression suites more stable, and allows testers to focus on finding real defects instead of constantly updating test scripts.

Most QA teams measure test coverage, but test coverage alone doesn't tell you whether you're testing the parts of your application that matter most.

A risk coverage scorecard helps teams evaluate how well their testing efforts align with business risk, technical complexity, compliance requirements, and critical user journeys. Instead of asking "How many tests do we have?", it answers a more important question: "Are we testing the functionality that would hurt us most if it failed?"

Risk-based testing is a software testing approach that prioritizes testing activities based on business risk, technical complexity, and the potential impact of failures.

Instead of treating all functionality equally, risk-based testing helps QA teams focus on the areas most likely to cause defects, financial losses, security issues, compliance violations, or poor user experiences.

Buddy testing is a software testing technique where two team members, usually a developer and an experienced tester, work together on the same machine to identify defects before release.

Unlike testing methods based only on structured test cases, buddy testing focuses on real-time collaboration, quick knowledge sharing, and exploring test scenarios together during the testing process.