Read, Extract, Classify: A Tool for Smarter Requirements Engineering
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866913113544065024 |
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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 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_11045 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Read, Extract, Classify: A Tool for Smarter Requirements Engineering Bhattacharya, Paheli Chakraborty, Manojit Arumugam, Santhosh Kumar Gupta, Rishabh Software Engineering Artificial Intelligence Machine Learning 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. |
| title | Read, Extract, Classify: A Tool for Smarter Requirements Engineering |
| topic | Software Engineering Artificial Intelligence Machine Learning |
| url | https://arxiv.org/abs/2605.11045 |