Test case aggregation for efficient feature model testing.

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

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.
Originalspracheenglisch
Titel26th ACM International Systems and Software Product Line Conference, SPLC 2022 - Proceedings
Redakteure/-innenAlexander Felfernig, Lidia Fuentes, Jane Cleland-Huang, Wesley K.G. Assuncao, Wesley K.G. Assuncao, Clement Quinton, Jianmei Guo, Klaus Schmid, Marianne Huchard, Inmaculada Ayala, Jose Miguel Rojas, Viet-Man Le, Jose Miguel Horcas
Herausgeber (Verlag)Association of Computing Machinery
Seiten174-177
Seitenumfang4
BandB
ISBN (elektronisch)9781450392068
DOIs
PublikationsstatusVeröffentlicht - 12 Sept. 2022
Veranstaltung26th ACM International Systems and Software Product Line Conference: SPLC 2022 - Graz, Österreich
Dauer: 12 Sept. 202216 Sept. 2022
http://2022.splc.net/

Konferenz

Konferenz26th ACM International Systems and Software Product Line Conference
KurztitelSPLC'22
Land/GebietÖsterreich
OrtGraz
Zeitraum12/09/2216/09/22
Internetadresse

ASJC Scopus subject areas

  • Software

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