Project SCoTA

Abstract

SCoTA – Smart Connectivity Test Automation introduces an AI-driven approach for validating advanced Wi-Fi connectivity systems, addressing the increasing complexity of Wi-Fi 7 and emerging Wi-Fi 8 environments. Current validation processes remain largely manual, fragmented and reactive, resulting in repetitive testing, interoperability issues, long validation cycles and increasing operational costs.

SCoTA develops an AI-driven, environment-aware validation framework automating the complete test lifecycle from requirements interpretation and test generation to execution, analysis and continuous optimization.

Using Telco-specific LLMs, constraint reasoning and Event Sequence Graphs (ESGs), SCoTA translates natural-language requirements into structured, executable tests integrated into CI/CD pipelines. Test results and telemetry feed AI models for anomaly detection, root-cause analysis using Explainable AI (SHAP/LIME) and regression-test optimization through reinforcement learning.

The framework ensures traceability across Requirement ↔ Feature ↔ Test ↔ KPI and is validated in two complementary environments: consumer/managed Wi-Fi led by Airties and large-scale enterprise Wi-Fi supported by Huawei France.

SCoTA will deliver reusable AI modules, common data models and modular interfaces aligned with relevant IEEE 802.11, ETSI and Broadband Forum activities. Led by Airties Türkiye with Huawei France, the project combines expertise in managed and enterprise Wi-Fi, AI-driven test automation and network analytics. Its outcomes will reduce validation effort and cost, accelerate testing and release cycles, improve reliability and establish a scalable foundation for intelligent and autonomous Wi-Fi validation.