arXiv Artificial Intelligence

STAB: Specification-driven Testing for Algorithmic Bottlenecks

1 hour ago 01.10.2026 07:00 👁 1 views
STAB: Specification-driven Testing for Algorithmic Bottlenecks

Quick summary

arXiv:2605.27981v2 Announce Type: replace Abstract: Evaluating the efficiency of algorithmic code requires test cases that expose runtime bottlenecks. Previous methods generate efficiency test cases either by increasing input size or by generating code-specific inputs that make the given implementation run slowly. Consequently, they do not address the structural input conditions that drive the algorithmic worst case. We introduce STAB, a specification-driven pipeline that generates test cases that expose algorithmic bottlenecks from a natural-language problem specification alone. STAB separate

Key takeaways

  • arXiv:2605.27981v2 Announce Type: replace Abstract: Evaluating the efficiency of algorithmic code requires test cases that expose runtime bottlenecks.
  • Previous methods generate efficiency test cases either by increasing input size or by generating code-specific inputs that make the given implementation run slowly.
  • Consequently, they do not address the structural input conditions that drive the algorithmic worst case.

Why it matters

“STAB: Specification-driven Testing for Algorithmic Bottlenecks” illustrates how changes in the AI ecosystem can affect products, workflows and user expectations together. Its lasting significance depends on measurable adoption, cost and safety outcomes.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗