Projects per year
Personal profile
Biography
Li Li is a Lecturer in the Faculty of Information Technology, Monash University. Prior to joining Monash, he was a research associate in Software Engineering at the University of Luxembourg and an honorary research associate at University College London. Li obtained his PhD degree in November 2016 from the University of Luxembourg. His research interests are in the areas of Android Security, Static Analysis, Machine Learning, Deep Learning, and Empirical Study.
For more details, please refer to my personal website.
Monash teaching commitment
Dr Li has experience as the Lecturer for the following unit in the Faculty of IT:
- FIT5003 Software Security
Research area keywords
- Mobile and Ubiquitous Computing
- Machine Learning
- Program Analysis
- Empirical Software Engineering
- Android Security
- Mining Software Repositories
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2019 2023
- 3 Active
ValDefFixApp: Values-oriented Defect Fixing for Mobile Software Applications
Grundy, J., Whittle, J., Turhan, B., Xia, X. & Li, L.
1/01/20 → 31/12/22
Project: Research
Enabling Compatible and Secure Mobile Apps via Automated Program Repair
Australian Research Council (ARC)
1/01/20 → 31/12/22
Project: Research
Model Driven Engineering and Evolutionary Machine Learning Base Approach for Modelling, Designing, Generating and Testing eHealth Apps for Smartphones and Wearables
Shamsujjoha, M. S., Grundy, J., Li, L., Lu, Q. & Knight, K.
1/05/19 → 10/01/23
Project: Research
Research Output 2014 2019
A large-scale study of application incompatibilities in Android
Cai, H., Zhang, Z., Li, L. & Fu, X., 2019, Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis. Zhang, D. & Moller, A. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 216-227 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
6
Citations
(Scopus)
Automated testing of Android apps: a systematic literature review
Kong, P., Li, L., Gao, J., Liu, K., Bissyande, T. F. & Klein, J., Mar 2019, In : IEEE Transactions on Reliability. 68, 1, p. 45-66 22 p.Research output: Contribution to journal › Article › Research › peer-review
1
Citation
(Scopus)
Dating with Scambots: understanding the ecosystem of fraudulent dating applications
Hu, Y., Wang, H., Zhou, Y., Guo, Y., Li, L., Luo, B. & Xu, F., 2019, (Accepted/In press) In : IEEE Transactions on Dependable and Secure Computing. 18 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access
7
Citations
(Scopus)
DeepCT: tomographic combinatorial testing for deep learning systems
Ma, L., Juefei-Xu, F., Xue, M., Li, B., Li, L., Liu, Y. & Zhao, J., 2019, 2019 IEEE 26th International Conference on Software Analysis, Evolution, and Reengineering. Wang, X., Lo, D. & Shihab, E. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 614-618 5 p. 8668044Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Do energy-oriented changes hinder maintainability?
Cruz, L., Abreu, R., Grundy, J., Li, L. & Xia, X., 2019, Proceedings - 2019 IEEE International Conference on Software Maintenance and Evolution, ICSME 2019. Kim, M. & Beszédes, Á. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 29-40 12 p. 8919169Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review