Autonomous driving requires a digital roadmap. In similar fashion, autonomous testing requires an application blueprint. The AIQ GenAI-driven testing platform automatically creates such blueprints, which simultaneously direct the autonomous testing that AIQ performs. Blueprints also provide architects and engineers with valuable insight into an application’s health, performance, and, most importantly, coverage.
This post describes the fascinating way that application blueprints are created, their role in autonomous testing and their considerable value as architectural artifacts.
Blueprint Creation
AIQ creates blueprints by autonomously discovering the business rules of an application-under-test (AUT), drawn from the AUT itself. This builds on the thousands of hours of training and advanced machine-learning (ML) models built into the AIQ platform.
AIQ’s AI blueprinting covers all possible user flows through an AUT, explores new code and functionality, and verifies that existing paths still perform as expected. Plus, because it writes its tests anew with each execution, test script maintenance is eliminated from the QA team’s workload.
AIQ does this by launching an array of ML-powered bots on the AUT. These freakishly smart and inexhaustible bots explore every discernible path and discover every unexpected path through the AUT, creating use cases as they go. Bots operate independently, but also collaboratively, ensuring no two bots ever follow the same path. When they reach the conclusion of a path, they refresh and start again from the beginning, exploring different routes until every use case is mapped, every possible action has been taken, and every test case is created.
AIQ also adapts when a new build is deployed, remembering what it learned from earlier builds and asking when it doesn’t know about a path in the new build.
This superhuman intelligence is powered by over half a dozen patented ML and math methods.
Blueprint-driven Testing
AIQ is a GenAI-driven testing platform. In practice, that means it uses GenAI to generate application blueprints and simultaneously uses those blueprints to inform automated testing. That testing can include functional, performance, and status checking. In just a few minutes you can have a 360-degree view of your application’s quality at both the functional and non-functional level.
Such testing magic is enabled by the application blueprints that AIQ generates for every build.
Blueprint Coverage Map & Dashboards
The Blueprint Coverage Map provides a complete view of the AUT’s health, presenting all the paths taken through the AUT. It immediately shows if the AI is deeply penetrating the critical application flows and where it needs more training. It also highlights areas of greatest defect density and delivers detailed diagnostic data on each issue identified, enabling fast and accurate issue resolution.
Blueprints are important artifacts over time. For instance, it is valuable to compare each new blueprint with a base case blueprint to understand the differences between builds at the request level. See what UI and UX changes have occurred, what APIs were added in the build, which were deprecated.
Based on the blueprint, AIQ automatically produces detailed dashboards with diagnostics for every error detected.
Conclusion
Application blueprints are the best thing since sliced bread for application architects, software engineers, and of course, for test teams. Their value is magnified since they are automatically created from AIQ’s GenAI-powered capabilities.
They would be valuable merely as artifacts. The fact that they also inform automated testing elevate them to the realm of active-artifacts. As such, they are essential to a modern, efficient software quality operation.
