自动化提取分类需求文档，提升软件开发效率。
Read, Extract, Classify: A Tool for Smarter Requirements Engineering
- 用启发式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自动分类。
- 适合需高效管理需求的开发团队使用。
本文提出ReXCL工具，用于自动化需求工程中的提取与分类流程，提升软件开发生命周期效率。该工具包含两个核心模块：提取模块利用启发式方法和预测建模，将原始需求文档转换为预定义结构；分类模块则通过编码器模型的自适应微调，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。性能评估显示，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结构化处理提供了创新方案。
原文摘要 · Abstract (English)
This paper presents the ReXCL tool, which automates the extraction and classification processes in requirements engineering, enhancing the software development life-cycle. 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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