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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Vydané v:	Empirical software engineering : an international journal Ročník 28; číslo 3; s. 71
Hlavní autori:	Birchler, Christian, Khatiri, Sajad, Bosshard, Bill, Gambi, Alessio, Panichella, Sebastiano
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.06.2023 Springer Nature B.V
Predmet:	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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