| Semantic similarity metrics for evaluating source code summarization S Haque, Z Eberhart, A Bansal, C McMillan Proceedings of the 30th IEEE/ACM International Conference on Program …, 2022 | 70 | 2022 |
| Project-Level Encoding for Neural Source Code Summarization of Subroutines A Bansal, S Haque, C McMillan 29th IEEE/ACM International Conference on Program Comprehension (ICPC 2021), 2021 | 38 | 2021 |
| Ensemble models for neural source code summarization of subroutines A LeClair, A Bansal, C McMillan 2021 IEEE International Conference on Software Maintenance and Evolution …, 2021 | 30 | 2021 |
| Action word prediction for neural source code summarization S Haque, A Bansal, L Wu, C McMillan 2021 IEEE International Conference on Software Analysis, Evolution and …, 2021 | 25 | 2021 |
| A Neural Question Answering System for Basic Questions about Subroutines A Bansal, Z Eberhart, L Wu, C McMillan IEEE International Conference on Software Analysis, Evolution and …, 2021 | 19 | 2021 |
| A wizard of oz study simulating api usage dialogues with a virtual assistant Z Eberhart, A Bansal, C McMillan IEEE Transactions on Software Engineering 48 (6), 1883-1904, 2020 | 15 | 2020 |
| An empirical study of developer behaviors for validating and repairing ai-generated code N Tang, M Chen, Z Ning, A Bansal, Y Huang, C McMillan, T Li 13th Workshop on the Intersection of HCI and PL, 2023 | 8 | 2023 |
| Towards Modeling Human Attention from Eye Movements for Neural Source Code Summarization A Bansal, B Sharif, C McMillan In Proceedings of ACM Human Computer Interaction ,Volume 7, ETRA, Article …, 2023 | 7 | 2023 |
| A Language Model of Java Methods with Train/Test Deduplication CY Su, A Bansal, V Jain, S Ghanavati, C Mcmillan FSE 2023 - Tool Demonstration, 2023 | 5 | 2023 |
| Function call graph context encoding for neural source code summarization A Bansal, Z Eberhart, Z Karas, Y Huang, C McMillan IEEE Transactions on Software Engineering, 2023 | 3 | 2023 |
| Modeling Programmer Attention as Scanpath Prediction A Bansal, CY Su, Z Karas, Y Zhang, Y Huang, TJJ Li, C McMillan In Proceedings of The 38th IEEE/ACM International Conference on Automated …, 2023 | 2 | 2023 |
| The apiza corpus: Api usage dialogues with a simulated virtual assistant Z Eberhart, A Bansal, C McMillan arXiv preprint arXiv:2001.09925, 2020 | 2 | 2020 |
| Statement-based Memory for Neural Source Code Summarization A Bansal, S Jiang, S Haque, C McMillan Technical Report, 2023 | 1 | 2023 |
| Label Smoothing Improves Neural Source Code Summarization S Haque, A Bansal, C McMillan 2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC …, 2023 | 1 | 2023 |
| EyeTrans: Merging Human and Machine Attention for Neural Code Summarization Y Zhang, J Li, Z Karas, A Bansal, TJJ Li, C McMillan, K Leach, Y Huang The ACM International Conference on the Foundations of Software Engineering …, 2024 | | 2024 |
| CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDE N Tang, J An, M Chen, A Bansal, Y Huang, C McMillan, TJJ Li International Conference on Software Engineering 2024 - Tool Demonstration Track, 2024 | | 2024 |
| Revisiting File Context for Source Code Summarization A Bansal, CY Su, C McMillan arXiv preprint arXiv:2309.02326, 2023 | | 2023 |
Collin McMillanUniversity of Notre DameVerified email at nd.edu
