Su, C., Bansal, A., McMillan, C., "Revisiting File Context for Source Code Summarization",
in Automated Software Engineering (ASE Journal), accepted, 2024.
Karas, Z., Bansal, A., Zhang, Y., Li, T., McMillan, C., Huang, Y., "A Tale of Two
Comprehensions? Analyzing Student Programmer Attention during Code Summarization",
in ACM Transactions on Software Engineering and Methodology (TOSEM), 2024.
Su, C., Bansal, A., Jain, S., Ghanavati, S., McMillan, C., "A Language Model of Java
Methods with Train/Test Deduplication", in 31st ACM Joint European Software Engineering
Conference and Symposium on the Foundations of Software Engineering, Demonstrations
(FSE'23 Demos), December 3 - 9, 2023.
Bansal, A., Su, C., Karas, Z, Zhang, Y., Huang, Y., Li, T., McMillan, C., "Modeling
Programmer Attention as Scanpath Prediction", in 38th IEEE/ACM International Conference
on Automated Software Engineering, New Ideas and Emerging Results (ASE'23 NIER), September
11 - 15, 2023.
Bansal, A., Eberhart, Z., Karas, Z., Huang, Y., McMillan, C., "Function Call Graph
Context Encoding for Neural Source Code Summarization", in Transactions on Software
Engineering (TSE), vol. 49, no. 9, September 2023.
Bansal, A., Sharif, B., McMillan, C., "Towards Modeling Human Attention from Eye Movements
for Neural Source Code Summarization", in 15th ACM Symposium of Eye Tracking Research
& Applications (ETRA'23), May 30 - June 2, 2023.
Haque, S., Eberhart, Z., Bansal, A., McMillan, C., "Semantic Similarity Metrics for
Evaluating Source Code Summarization", in 30th International Conference on Program
Comprehension (ICPC'22), May 16 - 17, 2022.
Bansal, A., Haque, S., McMillan, C., "Project-Level Encoding for Neural Source Code
Summarization of Subroutines", in 29th IEEE/ACM International Conference on Program
Comprehension (ICPC'21), May 18-20, 2021.
Bansal, A., Eberhart, Z., Wu, L., McMillan, C., "A Neural Question Answering System
for Basic Questions about Subroutines", in 28th IEEE International Conference on Software
Analysis, Evolution and Reengineering (SANER'21), March 9-12, 2021.
Eberhart, Z., Bansal, A., McMillan, C., "A Wizard of Oz Study Simulating API Usage
Dialogues with a Virtual Assistant", in Transactions on Software Engineering (TSE),
accepted.
IEEE/TCSE Distinguished Paper Award 2021
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