ReqGo: A Semi-Automated Requirements Management Tool

This study deals with issues of changes in requirements management by dealing ambiguity and prioritization. A hypothesis about the possibility integrating machine learning techniques processes has been proven. It highlights efforts automating identification, classification, prioritization considering multi-criteria decision-making through utilization Natural Language Processing (NLP) Universal Sentence Encoder. Naive Bayes (NB) classifier applied its remarkable performance on binarily classifying requirements. Although existing methods proved to improve one or two process significantly, it rarely integrates whole activity. The proposed tool helps development team manage systematically. algorithm is work as expected multiple constraints before calculating priority value. Meanwhile, identifies that exists requirement automatically. successfully 87.5% accurately. Possible future could be done improving module allowing automated estimation value upon change. Future may extend automation coverage providing test case generation.