Read, Extract, Classify: A Tool for Smarter Requirements Engineering

TL;DR

The paper introduces ReXCL, a tool that automates extraction and classification of requirements to improve efficiency and accuracy in requirements engineering.

Contribution

It presents a novel tool with modules for extracting and classifying requirements using heuristics and adaptive models, enhancing requirements management.

Findings

ReXCL significantly improves efficiency in requirements processing.

ReXCL achieves high accuracy in requirement classification.

The tool's output integrates with existing requirements engineering tools.

Abstract

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.