SE Arena offers a specialized evaluation framework for foundation models in software engineering contexts, addressing the limitations of conventional assessment methods.

• Evaluates AI performance in iterative, context-rich workflows typical of real software engineering tasks
• Focuses on practical applications including code generation, debugging, and requirement refinement
• Provides a more accurate measure of how foundation models perform in authentic engineering scenarios
• Enables better selection and deployment of AI tools for software development teams

This research matters because it helps engineering teams identify which AI models will truly enhance productivity in real-world software development environments, beyond simplified benchmark tests.

SE Arena: An Interactive Platform for Evaluating Foundation Models in Software Engineering