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Towards Requirements Analytics : A Research Agenda to Model and Evaluate the Quality of Unstructured Requirements Specifications

Kummler, Patrick

Abstract:
Communication between actors in a service system can be based on unstructured text. The quality of this text is crucial for the effort and output of a service system. The paper presents an approach to evaluate and model the quality by using requirements from automotive development projects as practical example. The aim is to define quality by using relevant attributes and quantifiable measures. First results include the development of an assessment tool and an initial analysis of the available dataset.



Originalveröffentlichung
DOI: 10.1007/978-3-319-56925-3_16
Zugehörige Institution(en) am KIT Karlsruhe Service Research Institute (KSRI)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2017
Sprache Englisch
Identifikator ISBN: 978-3-319-56924-6
ISSN: 1865-1348, 1865-1356
KITopen-ID: 1000069395
Erschienen in 8th International Conference on Exploring Service Science, IESS 2017; Rome; Italy; 24 May 2017 through 26 May 2017. Ed. : M. Dragoicea
Verlag Springer International Publishing, Cham
Seiten 197–209
Serie Lecture Notes in Business Information Processing ; 279
Schlagwörter Service systems - Software requirements - Analytics - Machine learning - Automotive software - Requirements quality - Quality metrics - Quality measurement
Nachgewiesen in Scopus
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