Abstract: This paper presents an infrastructure for defining scenarios and utilizing them to validate automated driving systems. It addresses various aspects of scenario-based testing, with a focus on ...

Across stadiums, convention centers, airports and live-event venues, labor shortages are no longer just a staffing problem, they are a revenue problem. Persistent workforce gaps in hospitality and ...

Abstract: In scenario-based testing of automated driving functions (ADF) the instantiation of concrete scenarios and test cases from logical scenario descriptions is an essential task. This work ...

The future of technology lies in the fusion of both professionals who can develop software that runs efficiently in the cloud will remain in highest demand across sectors.

Discover the leading AI code review tools reshaping DevOps practices in 2026, enhancing code quality, security, and team productivity with automated solutions.

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...

Powered by AI-driven automation, RidgeBot autonomously identifies attack surfaces, safely executes exploitations, and generates actionable reports aligned with OWASP and MITRE frameworks. This enables ...

Microsoft announced the stable release of Azure MCP Server 1.0.0, describing it as the start of a new phase for cloud automation and AI-driven development. The open-source implementation of the Model ...

Artificial intelligence is now built directly into many SaaS platforms, and that shift has created a new testing challenge. These systems don’t just run code, they generate predictions, adapt to fresh ...