Observation-based modeling for testing highly dependable systems: a practitioner’s approach

Teemu Kanstrén, Eric Piel, Alberto Gonzalez, Hans-Gerhard Gross

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

Abstract

Model-based testing (MBT) can reduce the cost of making test cases for critical applications significantly. Depending on the formality of the models, they can also be used for verification. Once the models are available model-based test case generation and verification can be seen as "push-button solutions." However, making the models is often perceived by practitioners as being extremely difficult, error prone, and overall daunting. This paper outlines an approach for generating models out of observations gathered while a system is operating. After refining the models with moderate effort, they can be used for verification and test case generation. The approach is illustrated with a concrete system from the safety and security domain.
Original languageEnglish
Title of host publicationProceedings of the International Workshop on Design of Dependable Critical Systems
Subtitle of host publicationHardware, Software, and Human Factors in Dependable System Design
EditorsAchim Wagner, Meike Jipp, Colin Atkinson, Essameddin Badreddin
PublisherHeidelberg University
Pages1-8
ISBN (Print)978-3-00-029877-6
Publication statusPublished - 2009
MoE publication typeA4 Article in a conference publication
EventInternational Workshop on Design of Dependable Critical Systems - Hamburg, Germany
Duration: 15 Sept 200915 Sept 2009

Conference

ConferenceInternational Workshop on Design of Dependable Critical Systems
Country/TerritoryGermany
CityHamburg
Period15/09/0915/09/09

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