Author:
Nejati Shiva,Sorokin Lev,Safin Damir,Formica Federico,Mahboob Mohammad Mahdi,Menghi Claudio
Subject
Computer Science Applications,Information Systems,Software
Reference57 articles.
1. C. Menghi, S. Nejati, L. Briand, Y.I. Parache, Approximation-Refinement Testing of Compute-Intensive Cyber-Physical Models: An Approach Based on System Identification, in: IEEE/ACM 42nd International Conference on Software Engineering, ICSE, 2020, pp. 372–384.
2. Search-based testing and system testing: A marriage in heaven;Zeller,2017
3. Surrogate-assisted evolutionary computation: Recent advances and future challenges;Jin;Swarm Evol. Comput.,2011
4. Mil testing of highly configurable continuous controllers: scalable search using surrogate models;Matinnejad,2014
5. Testing advanced driver assistance systems using multi-objective search and neural networks;Abdessalem,2016
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. ATheNA-S: A Testing Tool for Simulink Models Driven by Software Requirements and Domain Expertise;Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering;2024-07-10
2. Focused Test Generation for Autonomous Driving Systems;ACM Transactions on Software Engineering and Methodology;2024-06-27
3. Insights into System Failures: ML-Assisted Testing and Failure Models for Cyber-Physical Systems;2024 IEEE Conference on Software Testing, Verification and Validation (ICST);2024-05-27
4. Guiding the Search Towards Failure-Inducing Test Inputs Using Support Vector Machines;Proceedings of the 5th IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning;2024-04-20
5. Multi-requirement Parametric Falsification;Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings;2024-04-14