AI Techniques for Software Requirements Prioritization

Alexander Felfernig

doi:10.1142/9789811239922_0002

AI Techniques for Software Requirements Prioritization

Alexander Felfernig

Institute of Software Technology (7160)

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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

Original language	English
Title of host publication	Artificial Intelligence Methods For Software Engineering
Editors	Meir Kalech, Rui Abreu, Mark Last
Publisher	World Scientific Publishing Company
Chapter	2
Pages	29-47
Number of pages	19
ISBN (Electronic)	9789811239939
ISBN (Print)	9789811239939
DOIs	https://doi.org/10.1142/9789811239922_0002
Publication status	Published - 15 Jun 2021

Keywords

cs.SE
cs.AI

Access to Document

10.1142/9789811239922_0002

2108.00832v1Submitted manuscript, 382 KB

Cite this

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title = "AI Techniques for Software Requirements Prioritization",

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 ",

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note = "Preprint, cite as: A. Felfernig, AI Techniques for Software Requirements Prioritization. In: M. Kalech and R. Abreu and M. Last (Eds), Artificial Intelligence Methods for Software Engineering (pp. 29-47). World Scientific, 2021",

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AB - 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

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KW - cs.AI

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M3 - Chapter

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BT - Artificial Intelligence Methods For Software Engineering

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A2 - Abreu, Rui

A2 - Last, Mark

PB - World Scientific Publishing Company

ER -

AI Techniques for Software Requirements Prioritization

Abstract

Keywords

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Cite this