Machine learning-based test selection for simulation-based testing of self-driving cars software
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oai:localhost:PNK-83402023-04-27T01:32:57Z Machine learning-based test selection for simulation-based testing of self-driving cars software Christian, Birchler Sajad, Khatiri Bill, Bosshard CPS SDC CC BY 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 must be tested in a sheer amount of long-running test cases. Past results on software testing optimization have shown that not all the test cases contribute equally to establishing confidence in test subjects’ quality and reliability, and the execution of “safe and uninformative” test cases can be skipped to reduce testing effort. However, this problem is only partially addressed in the context of SDC simulation platforms. In this paper, we investigate test selection strategies to increase the cost-effectiveness of simulation-based testing in the context of SDCs. 2023-04-27T01:32:57Z 2023-04-27T01:32:57Z 2023 Book https://link.springer.com/article/10.1007/s10664-023-10286-y https://dlib.phenikaa-uni.edu.vn/handle/PNK/8340 en application/pdf Springer |
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CPS SDC |
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CPS SDC Christian, Birchler Sajad, Khatiri Bill, Bosshard Machine learning-based test selection for simulation-based testing of self-driving cars software |
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CC BY |
format |
Book |
author |
Christian, Birchler Sajad, Khatiri Bill, Bosshard |
author_facet |
Christian, Birchler Sajad, Khatiri Bill, Bosshard |
author_sort |
Christian, Birchler |
title |
Machine learning-based test selection for simulation-based testing of self-driving cars software |
title_short |
Machine learning-based test selection for simulation-based testing of self-driving cars software |
title_full |
Machine learning-based test selection for simulation-based testing of self-driving cars software |
title_fullStr |
Machine learning-based test selection for simulation-based testing of self-driving cars software |
title_full_unstemmed |
Machine learning-based test selection for simulation-based testing of self-driving cars software |
title_sort |
machine learning-based test selection for simulation-based testing of self-driving cars software |
publisher |
Springer |
publishDate |
2023 |
url |
https://link.springer.com/article/10.1007/s10664-023-10286-y https://dlib.phenikaa-uni.edu.vn/handle/PNK/8340 |
_version_ |
1764358629805260800 |
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8.891053 |