AI Techniques for Software Requirements Prioritization

TL;DR

This paper reviews AI-based techniques for software requirements prioritization, emphasizing their role in improving decision support amidst resource constraints and changing demands.

Contribution

It provides an overview of various AI methods applied to requirements prioritization, highlighting their potential to enhance decision quality.

Findings

AI techniques can effectively support requirements prioritization

Different AI methods offer diverse advantages and limitations

AI-based approaches improve prioritization accuracy and efficiency

Abstract

Aspects such as limited resources, frequently changing market demands, and different technical restrictions regarding the implementation of software requirements (features) often demand for the prioritization of requirements. The task of prioritization is the ranking and selection of requirements that should be included in future software releases. In this context, an intelligent prioritization decision support is extremely important. The prioritization approaches discussed in this paper are based on different Artificial Intelligence (AI) techniques that can help to improve the overall quality of requirements prioritization processes