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

Conference paper

DOI: 10.1007/978-3-319-56925-3_16

Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 279)
Cite this paper as:
Kummler P. (2017) Towards Requirements Analytics: A Research Agenda to Model and Evaluate the Quality of Unstructured Requirements Specifications. In: Za S., Drăgoicea M., Cavallari M. (eds) Exploring Services Science. IESS 2017. Lecture Notes in Business Information Processing, vol 279. Springer, Cham

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.

Keywords

Service systems Software requirements Analytics Machine learning Automotive software Requirements quality Quality metrics Quality measurement 

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Karlsruhe Service Research Institute (KSRI)Karlsruhe Institute of Technology (KIT)KarlsruheGermany

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