LearnLib/alex

Automata Learning EXperience (ALEX) - A free and open-source web application for testing and learning web applications via active automata learning

35
/ 100
Emerging

ALEX automatically infers Mealy machine models of web applications by executing user-defined Selenium or HTTP-based test sequences, enabling both behavioral documentation and automated test generation through active automata learning algorithms. The platform combines a web UI for test modeling with backend learning engines that systematically explore application state spaces to construct formal automaton representations. It integrates with Selenium for browser-based testing and JSON APIs, making it applicable to both traditional web applications and modern API-driven systems.

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 12 / 25

How are scores calculated?

Stars

38

Forks

5

Language

Java

License

Apache-2.0

Last pushed

Aug 05, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/LearnLib/alex"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.