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.
Yi Peng University of Gothenburg and Chalmers University of Technology, Hina Saeeda Chalmers University Sweden, Hans-Martin Heyn University of Gothenburg & Chalmers University of Technology, Jennifer Horkoff Chalmers and the University of Gothenburg