Automated Test Data Generation for Aspect-Oriented Programs

Mark Harman, Fayezin Islam, Tao Xie, Stefan Wappler

Research output: Chapter in Book/Report/Conference proceedingConference paper

41 Citations (Scopus)

Abstract

Despite the upsurge of interest in the Aspect-Oriented Programming (AOP) paradigm, there remain few results on test data generation techniques for AOP Furthermore, there is no work on search-based optimization for test data generation, an approach that has been shown to be successful in other programming paradigms. In this paper, we introduce a search-based optimization approach to automated test data generation for structural coverage of AOP systems. We present the results of an empirical study that demonstrates the effectiveness of the approach. We also introduce a domain reduction approach for AOP testing and show that this approach not only reduces test effort, but also increases test effectiveness. This finding is significant, because similar studies for non-AOP programming paradigms show no such improvement in effectiveness, merely a reduction in effort. We also present the results of an empirical study of the reduction in test effort achieved by focusing specifically on branches inside aspects.
Original languageEnglish
Title of host publicationUnknown
Place of PublicationNEW YORK
PublisherASSOC COMPUTING MACHINERY
Pages185 - 196
Number of pages12
ISBN (Print)978-1-60558-442-3
Publication statusPublished - 2009
Event8th ACM International Conference on Aspect-Oriented Software Development - Charlottesville, VA
Duration: 2 Mar 20096 Mar 2009

Publication series

NameAOSD'09: 8TH INTERNATIONAL CONFERENCE ON ASPECT-ORIENTED SOFTWARE DEVELOPMENT

Conference

Conference8th ACM International Conference on Aspect-Oriented Software Development
CityCharlottesville, VA
Period2/03/20096/03/2009

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