ReXCL: A Tool for Requirement Document Extraction and Classification
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866908311386849280 |
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| author | Bhattacharya, Paheli Chakraborty, Manojit Arumugam, Santhosh Kumar Gupta, Rishabh |
| author_facet | Bhattacharya, Paheli Chakraborty, Manojit Arumugam, Santhosh Kumar Gupta, Rishabh |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_07562 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | ReXCL: A Tool for Requirement Document Extraction and Classification Bhattacharya, Paheli Chakraborty, Manojit Arumugam, Santhosh Kumar Gupta, Rishabh Software Engineering Artificial Intelligence 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. |
| title | ReXCL: A Tool for Requirement Document Extraction and Classification |
| topic | Software Engineering Artificial Intelligence |
| url | https://arxiv.org/abs/2504.07562 |