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Model-Based Testing of Probabilistic Systems
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由 M Gerhold 著作2016被引用 36 次 — Model-based testing entails the automatic test case generation, execution and evaluation based on a requirements model. We provide two algorithms for test case ...
有關 Model-Based Testing of Probabilistic Systems. 的學術文章 | |
Model-based testing of probabilistic systems - Gerhold - 36 個引述 Model-based testing of probabilistic systems with … - Gerhold - 4 個引述 Probabilistic model-based diagnosis: An electrical … - Mengshoel - 117 個引述 | |
Model-based testing of probabilistic systems
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由 M Gerhold 著作2018被引用 36 次 — This work presents an executable model-based testing framework for probabilistic systems with non-determinism. We provide algorithms to ...
Model-based testing of probabilistic systems
ACM Digital Library
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由 M Gerhold 著作2018被引用 36 次 — This work presents an executable model-based testing framework for probabilistic systems with non-determinism. We provide algorithms to automatically ...
Model-Based Testing of Probabilistic Systems
OUCI
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OUCI
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Model-Based Testing of Probabilistic Systems with Stochastic Time. Marcus Gerhold, Mariëlle Stoelinga ; Model-Based Testing for General Stochastic Time. Marcus ...
What is Model-Based Testing in Software Testing
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2024年11月6日 — Model-based testing is a testing approach that generates test cases from abstract models of system behavior focusing on requirements without deep-diving into ...
What is Model-Based Testing: An Overview
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Model-based testing, aka MBT, is an efficient and systematic software testing approach leveraging models to represent a system's desired behavior.
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(PDF) Model-Based Testing of Probabilistic Systems
Amanote Research
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Amanote Research
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Model-Based Testing of Probabilistic Systems by Marcus Gerhold, Mariëlle Stoelinga published in Formal Aspects of Computing.
Uncertainty-aware Exploration in Model-based Testing
Gran Sasso Science Institute
https://cs.gssi.it › catia.trubiani › download › 2021...
Gran Sasso Science Institute
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由 M Camilli 著作被引用 16 次 — Results show they outperform existing testing methods with a gain up to 2.65× in terms of accuracy of the inference process. Index Terms—Model-based testing, ...
(PDF) Model‐based hypothesis testing of uncertain ...
ResearchGate
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ResearchGate
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2024年10月22日 — Our approach connects probabilistic input/output conformance theory with statistical hypothesis testing in order to assess if the behaviour of ...
Formally comparing user and implementer model-based ...
IEEE Xplore
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由 C Andrés 著作2008被引用 10 次 — Abstract: There are several methods to assess the capability of a test suite to detect faults in a potentially wrong system. We explore two methods based on ...
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