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Comparison of model size predictors in practice

Conference paper
Authors Jan Schröder
Christian Berger
Alessia Knauss
Harri Preenja
Ali Mohammad
Miroslaw Staron
Thomas Herpel
Published in Proceedings - 2017 IEEE/ACM 39th International Conference on Software Engineering Companion, ICSE-C 2017
ISBN 978-1-5386-1589-8
Publisher ACM
Publication year 2017
Published at Department of Computer Science and Engineering (GU)
Language en
Links https://doi.org/10.1109/ICSE-C.2017...
Subject categories Software Engineering

Abstract

The amount of software in modern vehicles is constantly growing. However, the risk for functional and quality deficiencies increases simultaneously with size. This results in industry for example in inevitable and unexpected refactorings of software models, which is slowing down development processes in turn. In this industrial case study, we evaluate model growth predictors applied to foresee critical model size developments. We present five approaches and systematically compare them regarding prediction accuracy.

Page Manager: Webmaster|Last update: 9/11/2012
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