| Towards Requirements Specification for Machine-learned Perception Based on Human Performance BC Hu, R Salay, K Czarnecki, M Rahimi, G Selim, M Chechik 2020 IEEE Seventh International Workshop on Artificial Intelligence for …, 2020 | 27 | 2020 |
| If a human can see it, so should your system: Reliability requirements for machine vision components BC Hu, L Marsso, K Czarnecki, R Salay, H Shen, M Chechik Proceedings of the 44th International Conference on Software Engineering …, 2022 | 18 | 2022 |
| Support for user generated evolutions of goal models BC Hu, AM Grubb 2019 IEEE/ACM 11th International Workshop on Modelling in Software …, 2019 | 4 | 2019 |
| What to Check: Systematic Selection of Transformations for Analyzing Reliability of Machine Vision Components BC Hu, L Marsso, K Czarnecki, M Chechik 2022 IEEE 33rd International Symposium on Software Reliability Engineering …, 2022 | 2 | 2022 |
| Exploring Next States and Alternative Paths in Goal Model Analysis BC Hu, AM Grubb, M Chechik Review of Undergraduate Computer Science, University of Toronto, 2019 | 1 | 2019 |
| Concept-based Analysis of Neural Networks via Vision-Language Models R Mangal, N Narodytska, D Gopinath, BC Hu, A Roy, S Jha, C Pasareanu arXiv preprint arXiv:2403.19837, 2024 | | 2024 |
| Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance H Shen, BC Hu, K Czarnecki, L Marsso, M Chechik arXiv preprint arXiv:2402.19401, 2024 | | 2024 |
| Towards Feature-Based Analysis of the Machine Learning Development Lifecycle BC Hu, M Chechik Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | | 2023 |
| DecompoVision: Reliability Analysis of Machine Vision Components through Decomposition and Reuse BC Hu, L Marsso, N Dvornik, H Shen, M Chechik Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | | 2023 |
