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Alignment of quality models for assessing software requirements in large-scale projects: a case from space

  • Large critical systems, such as those created in the space domain, are usually developed by a large number of organizations and, furthermore, they have to comply with standards. Yet, the different stakeholders often do not have a common understanding of the needed quality of requirements specifications. Achieving such a common understanding is a laborious process that is currently not sufficiently supported. Moreover, such a common understanding must be aligned with the standards. In this paper, we present an approach that can be used to align the different stakeholder perceptions regarding the quality of requirements specifications. Existing quality models for requirements specifications are analyzed for equivalences, and transferred into a common representation, the so-called Aligned Quality Map (AQM). Furthermore, a process is defined that supports the alignment of different stakeholder perspectives with regard to the quality of requirements specifications using AQM, which is validated in a case study in the context of European space projects. AQM has been created and populated with an initial set of quality models. It is designed in such way that it can be extended to include further quality models. The case study has shown that an alignment of different stakeholder perspectives and the quality model of the European Cooperation for Space Standardization using AQM is feasible. The approach allows for aligning different stakeholder perspectives for a common understanding of the quality of requirements specifications in the context of standards. Furthermore, AQM supports the assessment of requirements specifications.

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Author of HS ReutlingenKuhrmann, Marco; Münch, Jürgen; Beyersdorffer, Patrick
Erschienen in:Proceedings of the 29th International Conference on Engineering, Technology and Innovation (ICE 2023) : Shaping the future..., Edinburgh, 19-22 June 2023
Place of publication:Piscataway
Document Type:Conference proceeding
Publication year:2023
Tag:aerospace; quality assessment; quality attribute; quality model; software requirements specification
Page Number:9
DDC classes:004 Informatik
Open access?:Nein
Licence (German):License Logo  In Copyright - Urheberrechtlich geschützt