AI Techniques for Software Requirements Prioritization

2021/08/02 by Alexander Felfernig, Felfernig, Alexander · 2 citations
Computer Science · #Advanced Software Engineering Methodologies #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Software Engineering (cs.SE) #Software Engineering Techniques and Practices #Software System Performance and Reliability

paper · pdf · doi:10.48550/arxiv.2108.00832

openalex publication_date 2021/08/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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

Cited by

• Towards Human-AI Synergy in Requirements Engineering: A Framework and Preliminary Study
• Reconsidering Requirements Engineering: Human-AI Collaboration in AI-Native Software Development

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