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New IRAP method quantifies vague software performance requirements with 40x improvement

Researchers have developed a new approach called IRAP to address the challenge of quantifying vague software performance requirements documented in natural language. IRAP uses interactive retrieval-augmented preference elicitation to translate these requirements into mathematical functions. Experiments show IRAP significantly outperforms existing methods, achieving up to 40x improvement with minimal stakeholder interaction. AI

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IMPACT Introduces a novel method for precise software requirement quantification, potentially improving development efficiency and reducing ambiguity.

RANK_REASON This is a research paper published on arXiv detailing a new method for quantifying software performance requirements.

Read on arXiv cs.CL →

New IRAP method quantifies vague software performance requirements with 40x improvement

COVERAGE [3]

  1. arXiv cs.CL TIER_1 · Shihai Wang, Tao Chen ·

    Conjecture and Inquiry: Quantifying Software Performance Requirements via Interactive Retrieval-Augmented Preference Elicitation

    arXiv:2604.21380v2 Announce Type: replace-cross Abstract: Since software performance requirements are documented in natural language, quantifying them into mathematical forms is essential for software engineering. Yet, the vagueness in performance requirements and uncertainty of …

  2. arXiv cs.CL TIER_1 · Chen Tao ·

    Conjecture and Inquiry: Quantifying Software Performance Requirements via Interactive Retrieval-Augmented Preference Elicitation

    Since software performance requirements are documented in natural language, quantifying them into mathematical forms is essential for software engineering. Yet, the vagueness in performance requirements and uncertainty of human cognition have caused highly uncertain ambiguity in …

  3. Hugging Face Daily Papers TIER_1 ·

    Conjecture and Inquiry: Quantifying Software Performance Requirements via Interactive Retrieval-Augmented Preference Elicitation

    Since software performance requirements are documented in natural language, quantifying them into mathematical forms is essential for software engineering. Yet, the vagueness in performance requirements and uncertainty of human cognition have caused highly uncertain ambiguity in …