Unveiling Anomalies and Their Impact on Software Quality in Model-Based Automotive Software Revisions with Software Metrics and Domain Experts
Paper i proceeding, 2016

The validation of simulation models (e.g., of electronic control units for vehicles) in industry is becoming increasingly challenging due to their growing complexity. To systematically assess the quality of such models, software metrics seem to be promising. In this paper we explore the use of software metrics and outlier analysis as a means to assess the quality of model-based software. More specifically, we investigate how results from regression analysis applied to measurement data received from size and complexity metrics can be mapped to software quality. Using the moving averages approach, models were fit to data received from over 65,000 software revisions for 71 simulation models that represent different electronic control units of real premium vehicles. Consecutive investigations using studentized deleted residuals and Cook’s Distance revealed outliers among the measurements. From these outliers we identified a subset, which provides meaningful information (anomalies) by comparing outlier scores with expert opinions. Eight engineers were interviewed separately for outlier impact on software quality. Findings were validated in consecutive workshops. The results show correlations between outliers and their impact on four of the considered quality characteristics. They also demonstrate the applicability of this approach in industry.

Empirical Case Study

Outliers

Model-based

Metrics

Författare

Jan Schroeder

Göteborgs universitet

Christian Berger

Göteborgs universitet

Miroslaw Staron

Göteborgs universitet

T. Herpel

Automotive Safety Technologies GmbH

Alessia Knauss

Chalmers, Data- och informationsteknik, Software Engineering

Proceedings of the 25th International Symposium on Software Testing and Analysis (ISSTA 2016)

154 - 164

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Programvaruteknik

DOI

10.1145/2931037.2931060

ISBN

978-1-4503-4390-9

Mer information

Skapat

2017-10-08