自动化提取分类需求文档，提升软件开发效率。
ReXCL: A Tool for Requirement Document Extraction and Classification
- 用启发式规则和预测模型将原始文档转为标准格式
- 通过微调编码器模型实现需求分类，准确率显著提升
- 适合需要高效管理需求的软件工程团队使用
本文提出 ReXCL 工具，用于自动化需求工程中的提取与分类，提升软件开发流程效率。该工具包含两个核心模块：提取模块利用启发式规则和预测建模，将原始需求文档转化为预定义模式；分类模块通过自适应微调编码器模型，为需求分配类别标签。最终输出可导出至外部需求工程工具。性能评估表明，ReXCL 显著提升了需求管理的效率与准确性，为半结构化需求文档的规范化处理提供了新方法。
原文摘要 · Abstract (English)
This paper presents the ReXCL tool, which automates the extraction and classification processes in requirement engineering, enhancing the software development lifecycle. The tool features two main modules: Extraction, which processes raw requirement documents into a predefined schema using heuristics and predictive modeling, and Classification, which assigns class labels to requirements using adaptive fine-tuning of encoder-based models. The final output can be exported to external requirement engineering tools. Performance evaluations indicate that ReXCL significantly improves efficiency and accuracy in managing requirements, marking a novel approach to automating the schematization of semi-structured requirement documents.
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