Comparison of model size predictors in practice
Paper i proceeding, 2017

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.

Författare

Jan Schröder

Chalmers, Data- och informationsteknik, Software Engineering

Christian Berger

Chalmers, Data- och informationsteknik, Software Engineering

Alessia Knauss

Chalmers, Data- och informationsteknik, Software Engineering

H. Preenja

Chalmers, Data- och informationsteknik, Software Engineering

Mohammad Ali

Chalmers, Data- och informationsteknik, Software Engineering

Miroslaw Staron

Chalmers, Data- och informationsteknik, Software Engineering

T. Herpel

Automotive Safety Technologies GmbH

Proceedings - 2017 IEEE/ACM 39th International Conference on Software Engineering Companion, ICSE-C 2017

186-188

Ämneskategorier

Programvaruteknik

DOI

10.1109/ICSE-C.2017.66

ISBN

978-1-5386-1589-8