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A Systematic Literature Review of Requirements Prioritization Criteria

  • Conference paper
  • First Online:
Requirements Engineering: Foundation for Software Quality (REFSQ 2015)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9013))

Abstract

[Context & motivation] Requirements prioritization is typically applied in order to determine which requirements or features should be included in a certain release or implemented first. While most requirements prioritization approaches prescribe a fixed set of prioritization criteria that have to be assessed during the prioritization process, there is often a need for criteria that are customized to the specific project situation. [Question/problem] However, determining customized prioritization criteria is a time-consuming and laborious task. Instead of an in-depth analysis, criteria are often identified by gut feeling, which is error-prone and bears the risk of choosing misleading criteria. [Principal ideas/results] This paper aims at identifying and categorizing prioritization criteria discussed in the vast body of prioritization literature for software development. We describe a systematic literature review and, as a result, present a consolidated prioritization criteria model. [Contribution] Besides a comprehensive overview of prioritization criteria discussed in the literature, this paper introduces a classification schema that allows researchers and practitioners to identify prioritization criteria and related literature in a time-saving manner.

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Correspondence to Norman Riegel .

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Riegel, N., Doerr, J. (2015). A Systematic Literature Review of Requirements Prioritization Criteria. In: Fricker, S., Schneider, K. (eds) Requirements Engineering: Foundation for Software Quality. REFSQ 2015. Lecture Notes in Computer Science(), vol 9013. Springer, Cham. https://doi.org/10.1007/978-3-319-16101-3_22

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  • DOI: https://doi.org/10.1007/978-3-319-16101-3_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16100-6

  • Online ISBN: 978-3-319-16101-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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