Enhancing agile software development: a novel approach to automated requirements prioritization

Name: Izhar, Rahat

Organization : Chiang Mai University. Faculty of Engineering

Email : rahat_izhar@cmu.ac.th

Name: Cosh, Kenneth

Organization : Chiang Mai University. Faculty of Engineering

Email : drkencosh@gmail.com

Name: Bhatti, Shahid Nazir

Organization : University of Jeddah. Department of Software Engineering

Email : snbhattii@uj.edu.sa

LCSH: Agile software development

LCSH: Computer software

LCSH: Requirements engineering

Abstract: In Agile Software Development (ASD), accurately comprehending and prioritizing project requirements is crucial for aligning project results with stakeholder expectations and achieving success. The "Rule-Based Automated Requirements Prioritization" (RAR-P) paradigm is novel in using Natural Language Processing (NLP) and Machine Learning (ML) to improve requirements prioritization (RP). The RAR-P model uses advanced text preprocessing, tokenization, TF-IDF vectorization, cosine similarity measures, log likelihood calculations, and K-Means clustering to systematically analyze and priorities user requirements based on their semantic importance. This innovative approach surpasses the constraints of conventional prioritization methods by automating the decision-making process, guaranteeing a more profound and impartial alignment of project outcomes with the subtle requirements of stakeholders. This article explores the creation and use of the RAR-P model, demonstrating its ability to greatly improve the efficiency and efficacy of requirement prioritization in ASD. The RAR-P model has been identified as a crucial tool for transforming software development projects, offering the potential for improved success rates and more efficient resource allocation in project management. This study introduces an innovative solution to a persistent problem and also creates opportunities for future developments in agile project management approaches

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2024

Modified: 2025-05-26

Issued: 2025-05-26

บทความ/Article

application/pdf

BibliograpyCitation : In IEEE Thailand Section (IEEE Computer Society Thailand Chapter) and Prince of Songkla University. College of Computing. The 21st International Joint Conference on Computer Science and Software Engineering (JCSSE 2024)) (pp.286-293). Phuket : Prince of Songkla University

eng

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