AuthorsM. Z. Iqbal, A. Arcuri and L. C. Briand
TitleEmpirical Investigation of Search Algorithms for Environment Model-Based Testing of Real-Time Embedded Software
AfilliationSoftware Engineering, Software Engineering, Software Engineering
Project(s)The Certus Centre (SFI)
StatusPublished
Publication TypeProceedings, refereed
Year of Publication2012
Conference NameInternational Symposium on Software Testing and Analysis (ISSTA), ACM
PublisherACM
Place PublishedNew York, NY, USA
KeywordsConference
Abstract

System testing of real-time embedded systems (RTES) is a challenging task and only a fully automated testing approach can scale up to the testing requirements of industrial RTES. One such approach, which offers the advantage for testing teams to be black-box, is to use environment models to automatically generate test cases and oracles and an environment simulator to enable earlier and more practical testing. In this paper, we propose novel heuristics for search-based, RTES system testing which are based on these environment models. We evaluate the fault detection effectiveness of two search-based algorithms, i.e., Genetic Algorithms and (1+1) Evolutionary Algorithm, when using these novel heuristics and their combinations. Preliminary experiments on 13 carefully selected, non-trivial artificial problems, show that, under certain conditions, these novel heuristics are effective at bringing the environment into a state exhibiting a system fault. The heuristic combination that showed the best overall performance on the artificial problems was applied on an industrial case study where it showed consistent results.

Citation KeySimula.simula.1274