Support for user generated evolutions of goal models. - Boyue Caroline Hu; Alicia M. Grubb (MiSE@ICSE, 2019)

Towards Requirements Specification for Machine-learned Perception Based on Human Performance. - Boyue Caroline Hu; Rick Salay; Krzysztof Czarnecki 001; Mona Rahimi; Gehan M. K. Selim; Marsha Chechik (AIRE@RE, 2020)

If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components. - Boyue Caroline Hu; Lina Marsso; Krzysztof Czarnecki 001; Rick Salay; Huakun Shen; Marsha Chechik (ICSE, 2022)

What to Check: Systematic Selection of Transformations for Analyzing Reliability of Machine Vision Components. - Boyue Caroline Hu; Lina Marsso; Krzysztof Czarnecki 001; Marsha Chechik (ISSRE, 2022)

Towards Feature-Based Analysis of the Machine Learning Development Lifecycle. - Boyue Caroline Hu; Marsha Chechik (ESEC/SIGSOFT FSE, 2023)

DecompoVision: Reliability Analysis of Machine Vision Components through Decomposition and Reuse. - Boyue Caroline Hu; Lina Marsso; Nikita Dvornik; Huakun Shen; Marsha Chechik (ESEC/SIGSOFT FSE, 2023)

Concept-Based Analysis of Neural Networks via Vision-Language Models. - Ravi Mangal; Nina Narodytska; Divya Gopinath; Boyue Caroline Hu; Anirban Roy; Susmit Jha; Corina S. Pasareanu (SAIV, 2024)

A Software Engineering Perspective on Testing Large Language Models: Research, Practice, Tools and Benchmarks. - Sinclair Hudson; Sophia Jit; Boyue Caroline Hu; Marsha Chechik (CoRR, 2024)

Reliability Analysis of Machine Vision Components in Safety-critical Systems against Human Performance - Boyue Caroline Hu (2024)

Debugging and Runtime Analysis of Neural Networks with VLMs (A Case Study). - Boyue Caroline Hu; Divya Gopinath; Corina S. Pasareanu; Nina Narodytska; Ravi Mangal; Susmit Jha (CAIN, 2025)

Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance. - Huakun Shen; Boyue Caroline Hu; Krzysztof Czarnecki 001; Lina Marsso; Marsha Chechik (WACV, 2025)