SAKE: Software Architectural Knowledge Evaluation Benchmark for Large Language Models
Large Language Models (LLMs) are increasingly used as assistants across the software development lifecycle, yet their ability to reason about software architecture remains largely unmeasured. Architectural decision-making depends on quality attribute trade-offs, design patterns, and system-level constraints, none of which are exercised by benchmarks that target syntactic or algorithmic tasks. We introduce SAKE (Software Architectural Knowledge Evaluation), a standardized and reproducible benchmark for assessing software architectural knowledge in LLMs. SAKE comprises 2154 expert-curated multiple-choice questions, each with four options, stratified across eight architectural categories and...
| Authors | Tiziano Santilli, Francesco Daghero, Mayhar Tourchi Moghaddam |
|---|---|
| Primary category | cs.SE |
| Published | 28 June 2026 |
| Last updated at source | 28 June 2026 |
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