Improving Requirement Prioritization in Global Software Development Using Hybrid Technique

Abstract

Global software development (GSD) projects face significant challenges due to the lack of effective communication and collaboration among team members and stakeholders. These challenges are often intensified by factors such as time zone differences and cultural variations, leading to ambiguities, irrelevancies, and improper prioritization of requirements during the requirements engineering (RE) phase. This research paper proposes the hybrid technique using AI, specifically sentiment analysis, to enhance requirement prioritization in GSD projects. The study presents a comprehensive methodology and case study to assess the effectiveness of sentiment analysis in improving requirement prioritization. The findings suggest that the application of sentiment analysis can mitigate the challenges of communication and collaboration, ultimately leading to better prioritization of requirements in GSD projects.