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English(EN) HiddenLens: A Multi-Layer LLM Framework for Detecting and Resolving Hidden Assumptions in Software Requirements

新框架HiddenLens检测并解决软件需求中的隐藏假设

研究人员开发了HiddenLens,一个新颖的六层框架,利用BERT和LLM来识别和解决软件需求中的隐藏假设。该框架旨在解决未发现的假设所带来的高昂成本问题,这些假设会影响软件架构和测试。HiddenLens将假设分为六种非功能性需求类型,并生成澄清选项,最终重写需求以使其明确且可测试。该系统使用新引入的HiddenLens语料库(HLC)进行了评估,其表现优于基线方法,并取得了较高的F1分数。 AI

影响 该框架可以通过确保需求更加明确和可测试来改进软件开发,从而降低下游成本。

排序理由 该集群描述了研究论文中提出的一个新颖框架和数据集。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新框架HiddenLens检测并解决软件需求中的隐藏假设

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该集群描述了研究论文中提出的一个新颖框架和数据集。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Tanu Singh, Aashna Suman, Vinod Patidar ·

    HiddenLens:一个多层大语言模型框架,用于检测和解决软件需求中的隐藏假设

    arXiv:2610.29996v1 Announce Type: cross Abstract: Natural-language software requirements often omit assumptions about performance, operating conditions, user behaviour, and domain constraints, affecting architecture, testing, and deployment. If undiscovered until implementation, …