mlsanityData to 7 Oct 2026

AI Techniques for Software Requirements Prioritization

arXiv 2108.00832 ↗First posted 2 Aug 2021cs.SE cs.AIcited by 3

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Abstract (arXiv)

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

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 4 of its 36 references that are in the map. First posted on arXiv 2 Aug 2021.

Builds on

4 of 36 references.

References · 4

  1. 2021An Efficient Diagnosis Algorithm for Inconsistent Constraint Setscited by 11
  2. 2017Developer Prioritization in Bug Repositoriescited by 7
  3. 2019Asymmetric Release Planning-Compromising Satisfaction against Dissatisfactioncited by 4
  4. 2021Towards Utility-based Prioritization of Requirements in Open Source Environmentscited by 1

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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 0; 2025: 2.

3 papers.