在SBST 2022工具竞赛中使用AmbieGen工具

2022 IEEE/ACM 15th International Workshop on Search-Based Software Testing (SBST) Pub Date : 2022-05-01 DOI:10.1145/3526072.3527531

D. Humeniuk, G. Antoniol, Foutse Khomh

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引用次数: 6

摘要

AmbieGen是一个为网络物理系统(CPS)生成测试用例的工具。在SBST 2022 CPS工具竞赛的背景下，它已被用于生成虚拟道路来测试汽车车道保持辅助系统。AmbieGen利用双目标NSGA-II算法生成测试用例。它已经达到了最高的最终分数，在两个测试配置中考虑了测试用例的效率、有效性和多样性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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AmbieGen tool at the SBST 2022 Tool Competition

AmbieGen is a tool for generating test cases for cyber-physical systems (CPS). In the context of SBST 2022 CPS tool competition, it has been adapted to generating virtual roads to test a car lane keeping assist system. AmbieGen leverages a two objective NSGA-II algorithm to produce the test cases. It has achieved the highest final score, accounting for the test case efficiency, effectiveness and diversity in both testing configurations.

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来源期刊

2022 IEEE/ACM 15th International Workshop on Search-Based Software Testing (SBST)

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