About Me
I am a PhD candidate at Drexel University specializing in language model-assisted software refactoring and design comprehension.
Links
Publications
- J. Lefever, Y. Cai, R. Kazman, and E. Pisch. Concern Deviation: Advancing Cohesion Estimation with LLM-Derived Embeddings. Under review. 2024.
- J. Lefever, Y. Cai, R. Kazman, and E. Pisch. Deicide: Decomposing Complex Files Into Responsibility Modules. Under review. 2024.
- E. Pisch, Y. Cai, R. Kazman, J. Lefever, and H. Fang. M-score: An Empirically Derived Software Modularity Metric. Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM '24). 2024.
- A. Liu, J. Lefever, Y. Han, and Y. Cai. Prevalence and Severity of Design Anti-Patterns in Open Source Programs — A Large-Scale Study. Information and Software Technology 170. 2024.
- J. Lefever, Y. Cai, R. Kazman, and H. Fang. Towards the Assisted Decomposition of Large-Active Files. 2023 IEEE 20th International Conference on Software Architecture Companion (ICSA-C). ICSA '23. 2023.
- H. Fang, Y. Cai, R. Kazman, and J. Lefever. Identifying Anti-Patterns in Distributed Systems With Heterogeneous Dependencies. 2023 IEEE 20th International Conference on Software Architecture Companion (ICSA-C). ICSA '23. 2023.
- H. Fang, Y. Cai, R. Kazman, and J. Lefever. CIDER: Concept-based Interactive Design Recovery. Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion). ICSE '22. 2022.
- J. Lefever, Y. Cai, H. Cervantes, R. Kazman, and H. Fang. On the Lack of Consensus Among Technical Debt Detection Tools. 2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP). ICSE '21. 2021.
- T. Price, D. Hovemeyer, K. Rivers, A. Bart, A. Petersen, B. Becker, and J. Lefever. ProgSnap 2: A Flexible Format for Programming Process Data. Proceedings of the Educational Data Mining in Computer Science Workshop in the Companion Proceedings of the International Conference on Learning Analytics and Knowledge. EDM '19. 2019.