Improving Requirement Prioritization and Traceability using Artificial Intelligence Technique for Global Software Development

Abstract

Global software development (GSD) organizations encouraged to improve software quality of products. The GSD used highly skilled and advance technology at one place through the internet. The main challenges face in GSD with benefits are communication, coordination and control. These issues create ambiguities and incompleteness in requirements prioritization and traceability process due to lots of stakeholders and human efforts involved. Therefore, we proposed a framework to improve requirements prioritization and traceability process using artificial intelligent technique. The framework was evaluated using experiment and compared with existing solutions. Results described that proposed framework significantly improved requirements prioritization and traceability with less human interaction to reduce GSD challenges.