2014 IEEE Seventh International Conference on Software Testing, Verification and Validation 2014
DOI: 10.1109/icst.2014.16
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Model-Based Test Design of Product Lines: Raising Test Design to the Product Line Level

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Cited by 14 publications
(19 citation statements)
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“…We are planning to focus on this problem in the future. There exist recent studies to complement test models with feature models (Samih and Bogusch 2014) and orthogonal variability models (Lackner et al 2014) to capture systematic variations explicitly. These models are used for generating different instances of a reference test model.…”
Section: Discussionmentioning
confidence: 99%
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“…We are planning to focus on this problem in the future. There exist recent studies to complement test models with feature models (Samih and Bogusch 2014) and orthogonal variability models (Lackner et al 2014) to capture systematic variations explicitly. These models are used for generating different instances of a reference test model.…”
Section: Discussionmentioning
confidence: 99%
“…Variations can be better managed at the abstraction level of test models. However, MBT still falls short to address systematic variability for large-scale product families with high number of variations that crosscut test models (Lackner et al 2014;Samih and Bogusch 2014). The problem gets amplified when we utilize embedded test scripts in models to facilitate test execution automation.…”
Section: Research Context and Challengesmentioning
confidence: 98%
“…In earlier work [16], we present two approaches for product line test design automation. However, the current paper is focused on testing whether unselected features are actually excluded from the product variant.…”
Section: Resultsmentioning
confidence: 99%
“…Based on this, we dened two approaches to automated test design for PLs [16] as depicted in Figure 3: (i) product-centered (PC) and (ii) product line-centered (PLC). The product-centered approach consists of selecting a representative set of products (test models) and afterwards generating test cases from each of these models.…”
Section: Billsmentioning
confidence: 99%
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