Rui Shu

Shu, R., Xia, T., Williams, L., & Menzies, T. (2022). Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue. 2022 MINING SOFTWARE REPOSITORIES CONFERENCE (MSR 2022), pp. 144–155. https://doi.org/10.1145/3524842.3528437

Elder, S., Zahan, N., Shu, R., Metro, M., Kozarev, V., Menzies, T., & Williams, L. (2022). Do I really need all this work to find vulnerabilities? An empirical case study comparing vulnerability detection techniques on a Java application. EMPIRICAL SOFTWARE ENGINEERING, 27(6). https://doi.org/10.1007/s10664-022-10179-6

Shu, R., Xia, T., Williams, L., & Menzies, T. (2022). Omni: automated ensemble with unexpected models against adversarial evasion attack. EMPIRICAL SOFTWARE ENGINEERING, 27(1). https://doi.org/10.1007/s10664-021-10064-8

Xia, T., Fu, W., Shu, R., Agrawal, R., & Menzies, T. (2022). Predicting health indicators for open source projects (using hyperparameter optimization). EMPIRICAL SOFTWARE ENGINEERING, 27(6). https://doi.org/10.1007/s10664-022-10171-0

Xia, T., Shu, R., Shen, X., & Menzies, T. (2022). Sequential Model Optimization for Software Effort Estimation. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 48(6), 1994–2009. https://doi.org/10.1109/TSE.2020.3047072

Shu, R., Xia, T., Chen, J., Williams, L., & Menzies, T. (2021). How to Better Distinguish Security Bug Reports (Using Dual Hyperparameter Optimization). EMPIRICAL SOFTWARE ENGINEERING, 26(3). https://doi.org/10.1007/s10664-020-09906-8

Elder, S. E., Zahan, N., Kozarev, V., Shu, R., Menzies, T., & Williams, L. (2021). Structuring a Comprehensive Software Security Course Around the OWASP Application Security Verification Standard. 2021 IEEE/ACM 43RD INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: JOINT TRACK ON SOFTWARE ENGINEERING EDUCATION AND TRAINING (ICSE-JSEET 2021), pp. 95–104. https://doi.org/10.1109/ICSE-SEET52601.2021.00019

Shu, R., Wang, P., Gorski, S. A., Andow, B., Nadkarni, A., Deshotels, L., … Gu, X. (2016). A Study of Security Isolation Techniques. ACM COMPUTING SURVEYS, 49(3). https://doi.org/10.1145/2988545