XIVT: eXcellence In Variant Testing

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|Project Number=17039 XIVT
|Project Number=17039 XIVT
|Coordinator=Bombardier, Sweden
|Coordinator=Bombardier, Sweden
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|Partners=24 partners from Canada, Germany, Portugal, Sweden, and Turkey
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|Partners=21 partners from Canada, Germany, Portugal, Sweden, and Turkey
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|month=jan
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|month=nov
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|year=2020
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|year=2018
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|Duration months=36
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|Duration months=50
|Keywords=software testing, security, variant testing
|Keywords=software testing, security, variant testing
|Summary=Within the XIVT project, a method and toolchain will be defined for testing highly configurable, variant-rich embedded systems in the automotive, rail, telecommunication and industrial production domains. This will enable a highly effective, cost-efficient quality assurance, allowing the shift to autonomous, flexible and adaptive applications. The method is founded on a knowledge-based analysis of requirements formulated in natural language, and a model-based test generation at product-line level. It is expected that XIVT methods will result in higher test coverage, more flexible processes of higher quality and better products.
|Summary=Within the XIVT project, a method and toolchain will be defined for testing highly configurable, variant-rich embedded systems in the automotive, rail, telecommunication and industrial production domains. This will enable a highly effective, cost-efficient quality assurance, allowing the shift to autonomous, flexible and adaptive applications. The method is founded on a knowledge-based analysis of requirements formulated in natural language, and a model-based test generation at product-line level. It is expected that XIVT methods will result in higher test coverage, more flexible processes of higher quality and better products.

Latest revision as of 15:52, 30 September 2021

https://www.xivt.org/

Within the XIVT project, a method and toolchain will be defined for testing highly configurable, variant-rich embedded systems in the automotive, rail, telecommunication and industrial production domains. This will enable a highly effective, cost-efficient quality assurance, allowing the shift to autonomous, flexible and adaptive applications. The method is founded on a knowledge-based analysis of requirements formulated in natural language, and a model-based test generation at product-line level. It is expected that XIVT methods will result in higher test coverage, more flexible processes of higher quality and better products.

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