Test case aggregation for efficient feature model testing.

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

The increasing size and complexity of feature models (FM) requires the provision of efficient testing and debugging techniques. Feature models can be tested, for example, with regard to their conformance with a pre-defined set of analysis operations. In this paper, we show how the number of consistency checks for FM testing can be reduced on the basis of test case aggregation. Using a divide-and-conquer based approach, we show how to transform a feature model test suite into a corresponding aggregated representation where individual test cases can be combined if specific consistency criteria are fulfilled. Performance improvements are also analyzed on the basis of a best- and worst-case runtime analysis.
Original languageEnglish
Title of host publicationProceedings of the 26th ACM International Systems and Software Product Line Conference
PublisherAssociation of Computing Machinery
Pages174-177
Number of pages4
VolumeB
ISBN (Electronic)9781450392068
DOIs
Publication statusPublished - 12 Sep 2022
Event26th ACM International Systems and Software Product Line Conference: SPLC'22 - Graz, Austria
Duration: 12 Sep 202216 Sep 2022
http://2022.splc.net/

Conference

Conference26th ACM International Systems and Software Product Line Conference
Abbreviated titleSPLC 2022
Country/TerritoryAustria
CityGraz
Period12/09/2216/09/22
Internet address

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