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Comparison of model size predictors in practice

Jan Schroeder ; Christian Berger ; Alessia Knauss (Institutionen för data- och informationsteknik, Software Engineering (Chalmers)) ; H. Preenja ; M. Ali ; Miroslaw Staron ; T. Herpel
Proceedings - 2017 IEEE/ACM 39th International Conference on Software Engineering Companion, ICSE-C 2017 p. 186-188. (2017)
[Konferensbidrag, refereegranskat]

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.

Denna post skapades 2017-08-23.
CPL Pubid: 251361


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Institutioner (Chalmers)

Institutionen för data- och informationsteknik, Software Engineering (Chalmers)



Chalmers infrastruktur