Conference article

A Safe Regression Test Selection Technique for Modelica

Niklas Fors
Department of Computer Science, Lund University, Sweden

Jon Sten
Modelon AB, Sweden

Markus Olsson
Modelon AB, Sweden

Filip Stenström
Modelon AB, Sweden

Download articlehttp://dx.doi.org/10.3384/ecp18154131

Published in: Proceedings of The American Modelica Conference 2018, October 9-10, Somberg Conference Center, Cambridge MA, USA

Linköping Electronic Conference Proceedings 154:14, p. 131-137

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Published: 2019-02-26

ISBN: 978-91-7685-148-7

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

Running regression tests for Modelica models usually takes a long time. This paper presents a safe regression test selection technique for Modelica based on static analysis. The technique tracks dependencies between classes to compute which tests that need to be run given a change. The dependency rules have been verified using mutation testing. The technique has been evaluated on the Modelica Standard Library and another library with promising results.

Keywords

regression test selection, mutation testing

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