Automated system-level testing of unmanned aerial systems Article Swipe

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Hassan Sartaj , Asmar Muqeet , Muhammad Zohaib Iqbal , Muhammad Uzair Khan ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.1007/s10515-024-00462-9

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Flight Management System

Artificial Intelligence

Control Engineering

Aerospace Engineering

Concepts

Autopilot Avionics Computer science Context (archaeology) Scenario testing System under test Integration testing Cockpit Test (biology) Systems engineering Test case Life-critical system Flight test Flight management system Software Real-time computing Embedded system Reliability engineering Simulation Flight simulator Engineering Aeronautics Artificial intelligence Control engineering Operating system Aerospace engineering Variety (cybernetics) Paleontology Regression analysis Biology Machine learning

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Type: preprint
Language: en
Landing Page: https://doi.org/10.1007/s10515-024-00462-9
OA Status: green
Cited By: 4
References: 72
Related Works: 10
OpenAlex ID: https://openalex.org/W4393242034

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OpenAlex ID: https://openalex.org/W4393242034

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DOI: https://doi.org/10.1007/s10515-024-00462-9

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Title: Automated system-level testing of unmanned aerial systems

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Type: preprint

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Language: en

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Publication year: 2024

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Publication date: 2024-08-01

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Authors: Hassan Sartaj, Asmar Muqeet, Muhammad Zohaib Iqbal, Muhammad Uzair Khan

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Landing page: https://doi.org/10.1007/s10515-024-00462-9

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Open access: Yes

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OA status: green

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OA URL: https://arxiv.org/pdf/2403.15857

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Concepts: Autopilot, Avionics, Computer science, Context (archaeology), Scenario testing, System under test, Integration testing, Cockpit, Test (biology), Systems engineering, Test case, Life-critical system, Flight test, Flight management system, Software, Real-time computing, Embedded system, Reliability engineering, Simulation, Flight simulator, Engineering, Aeronautics, Artificial intelligence, Control engineering, Operating system, Aerospace engineering, Variety (cybernetics), Paleontology, Regression analysis, Biology, Machine learning

Top concepts (fields/topics) attached by OpenAlex
Cited by: 4

Total citation count in OpenAlex
Citations by year (recent): 2025: 2, 2024: 2

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References (count): 72

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Related works (count): 10

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referenced_works_count	72
abstract_inverted_index
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cited_by_percentile_year.min	94
countries_distinct_count	0
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citation_normalized_percentile.value	0.89853845
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	True