Machine learning-based test selection for simulation-based testing of self-driving cars software

Simulation platforms facilitate the development of emerging Cyber-Physical Systems (CPS) like self-driving cars (SDC) because they are more efficient and less dangerous than field operational test cases. Despite this, thoroughly testing SDCs in simulated environments remains challenging because SDCs...

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Vydáno v:Empirical software engineering : an international journal Ročník 28; číslo 3; s. 71
Hlavní autoři: Birchler, Christian, Khatiri, Sajad, Bosshard, Bill, Gambi, Alessio, Panichella, Sebastiano
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.06.2023
Springer Nature B.V
Témata:
Autonomous cars
Autonomous vehicles
Compilers
Computer Science
Context
Cost analysis
Cyber-physical systems
Effectiveness
Fault detection
Interpreters
Machine learning
Optimization
Platforms
Programming Languages
Simulation
Software Engineering/Programming and Operating Systems
Software testing
Regression testing
Test case selection
Self-driving cars
Industrial integration
Software simulation
ISSN:1382-3256, 1573-7616
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