Aakash Bansal

39 papers A* 2A 6B 1Journal 28Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Context-aware code summary generation.
J. Syst. Softw.
Chia-Yi Su, Aakash Bansal, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2025 J jnl
AI-Mediated Code Comment Improvement.
CoRR
Maria Dhakal, Chia-Yi Su, Robert Wallace, Chris Fakhimi, Aakash Bansal, Toby Jia-Jun Li, Yu Huang, Collin McMillan
2025 J jnl
Programmer Visual Attention During Context-Aware Code Summarization.
IEEE Trans. Software Eng.
Robert Wallace, Aakash Bansal, Zachary Karas, Ningzhi Tang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2025 A* conf
Programmers' Visual Attention on Function Call Graphs During Code Summarization.
ASE
Samantha McLoughlin, Zachary Karas, Robert Wallace, Aakash Bansal, Collin McMillan, Yu Huang
2025 J jnl
Time-Modulated EM Skins for Integrated Sensing and Communications.
CoRR
Lorenzo Poli, Aakash Bansal, Giacomo Oliveri, Aaron Angel Salas-Sanchez, Will Whittow, Andrea Massa
2025 J jnl
Which Code Statements Implement Privacy Behaviors in Android Applications?
CoRR
Chia-Yi Su, Aakash Bansal, Vijayanta Jain, Sepideh Ghanavati, Sai Teja Peddinti, Collin McMillan
2024 J jnl
A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions.
CoRR
Ningzhi Tang, Meng Chen, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li
2024 J jnl
A Tale of Two Comprehensions? Analyzing Student Programmer Attention during Code Summarization.
ACM Trans. Softw. Eng. Methodol.
Zachary Karas, Aakash Bansal, Yifan Zhang, Toby Jia-Jun Li, Collin McMillan, Yu Huang
2024 — conf
CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDE.
ICSE Companion
Ningzhi Tang, Junwen An, Meng Chen, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li
2024 J jnl
Context-aware Code Summary Generation.
CoRR
Chia-Yi Su, Aakash Bansal, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2024 B conf
Developer Behaviors in Validating and Repairing LLM-Generated Code Using IDE and Eye Tracking.
VL/HCC
Ningzhi Tang, Meng Chen, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li
2024 J jnl
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization.
CoRR
Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
2024 J jnl
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization.
Proc. ACM Softw. Eng.
Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
2024 J jnl
Programmer Visual Attention During Context-Aware Code Summarization.
CoRR
Aakash Bansal, Robert Wallace, Zachary Karas, Ningzhi Tang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2024 J jnl
Revisiting file context for source code summarization.
Autom. Softw. Eng.
Chia-Yi Su, Aakash Bansal, Collin McMillan
2023 — conf
A Language Model of Java Methods with Train/Test Deduplication.
ESEC/SIGSOFT FSE
Chia-Yi Su, Aakash Bansal, Vijayanta Jain, Sepideh Ghanavati, Collin McMillan
2023 J jnl
A Language Model of Java Methods with Train/Test Deduplication.
CoRR
Chia-Yi Su, Aakash Bansal, Vijayanta Jain, Sepideh Ghanavati, Collin McMillan
2023 J jnl
Function Call Graph Context Encoding for Neural Source Code Summarization.
IEEE Trans. Software Eng.
Aakash Bansal, Zachary Eberhart, Zachary Karas, Yu Huang, Collin McMillan
2023 A conf
Label Smoothing Improves Neural Source Code Summarization.
ICPC
Sakib Haque, Aakash Bansal, Collin McMillan
2023 J jnl
Label Smoothing Improves Neural Source Code Summarization.
CoRR
Sakib Haque, Aakash Bansal, Collin McMillan
2023 A* conf
Modeling Programmer Attention as Scanpath Prediction.
ASE
Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2023 J jnl
Modeling Programmer Attention as Scanpath Prediction.
CoRR
Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2023 J jnl
Revisiting File Context for Source Code Summarization.
CoRR
Aakash Bansal, Chia-Yi Su, Collin McMillan
2023 J jnl
Statement-based Memory for Neural Source Code Summarization.
CoRR
Aakash Bansal, Siyuan Jiang, Sakib Haque, Collin McMillan
2023 J jnl
Towards Modeling Human Attention from Eye Movements for Neural Source Code Summarization.
CoRR
Aakash Bansal, Bonita Sharif, Collin McMillan
2023 J jnl
Towards Modeling Human Attention from Eye Movements for Neural Source Code Summarization.
Proc. ACM Hum. Comput. Interact.
Aakash Bansal, Bonita Sharif, Collin McMillan
2022 J jnl
A Wizard of Oz Study Simulating API Usage Dialogues With a Virtual Assistant.
IEEE Trans. Software Eng.
Zachary Eberhart, Aakash Bansal, Collin McMillan
2022 J jnl
Semantic Similarity Metrics for Evaluating Source Code Summarization.
CoRR
Sakib Haque, Zachary Eberhart, Aakash Bansal, Collin McMillan
2022 A conf
Semantic similarity metrics for evaluating source code summarization.
ICPC
Sakib Haque, Zachary Eberhart, Aakash Bansal, Collin McMillan
2021 A conf
A Neural Question Answering System for Basic Questions about Subroutines.
SANER
Aakash Bansal, Zachary Eberhart, Lingfei Wu, Collin McMillan
2021 J jnl
A Neural Question Answering System for Basic Questions about Subroutines.
CoRR
Aakash Bansal, Zachary Eberhart, Lingfei Wu, Collin McMillan
2021 J jnl
A Wizard of Oz Study Simulating API Usage Dialogues with a Virtual Assistant.
CoRR
Zachary Eberhart, Aakash Bansal, Collin McMillan
2021 A conf
Action Word Prediction for Neural Source Code Summarization.
SANER
Sakib Haque, Aakash Bansal, Lingfei Wu, Collin McMillan
2021 J jnl
Action Word Prediction for Neural Source Code Summarization.
CoRR
Sakib Haque, Aakash Bansal, Lingfei Wu, Collin McMillan
2021 A conf
Ensemble Models for Neural Source Code Summarization of Subroutines.
ICSME
Alexander LeClair, Aakash Bansal, Collin McMillan
2021 J jnl
Ensemble Models for Neural Source Code Summarization of Subroutines.
CoRR
Alexander LeClair, Aakash Bansal, Collin McMillan
2021 A conf
Project-Level Encoding for Neural Source Code Summarization of Subroutines.
ICPC
Aakash Bansal, Sakib Haque, Collin McMillan
2021 J jnl
Project-Level Encoding for Neural Source Code Summarization of Subroutines.
CoRR
Aakash Bansal, Sakib Haque, Collin McMillan
2020 J jnl
The Apiza Corpus: API Usage Dialogues with a Simulated Virtual Assistant.
CoRR
Zachary Eberhart, Aakash Bansal, Collin McMillan