Aakash Bansal

According to our database, Aakash Bansal authored at least 24 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Context-aware code summary generation.

Chia-Yi Su, Aakash Bansal, Yu Huang, Toby Jia-Jun Li, Collin McMillan

J. Syst. Softw., 2026

2025

Programmer Visual Attention During Context-Aware Code Summarization.

Robert Wallace, Aakash Bansal, Zachary Karas, Ningzhi Tang, Yu Huang, Toby Jia-Jun Li, Collin McMillan

IEEE Trans. Software Eng., May, 2025

AI-Mediated Code Comment Improvement.

Maria Dhakal, Chia-Yi Su, Robert Wallace, Chris Fakhimi, Aakash Bansal, Toby Jia-Jun Li, Yu Huang, Collin McMillan

CoRR, May, 2025

Time-Modulated EM Skins for Integrated Sensing and Communications.

Lorenzo Poli, Aakash Bansal, Giacomo Oliveri, Aaron Angel Salas-Sanchez, Will Whittow, Andrea Massa

CoRR, May, 2025

Which Code Statements Implement Privacy Behaviors in Android Applications?

Chia-Yi Su, Aakash Bansal, Vijayanta Jain, Sepideh Ghanavati, Sai Teja Peddinti, Collin McMillan

CoRR, March, 2025

2024

Revisiting file context for source code summarization.

Chia-Yi Su, Aakash Bansal, Collin McMillan

Autom. Softw. Eng., November, 2024

A Tale of Two Comprehensions? Analyzing Student Programmer Attention during Code Summarization.

Zachary Karas, Aakash Bansal, Yifan Zhang, Toby Jia-Jun Li, Collin McMillan, Yu Huang

ACM Trans. Softw. Eng. Methodol., September, 2024

EyeTrans: Merging Human and Machine Attention for Neural Code Summarization.

Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang

Proc. ACM Softw. Eng., 2024

A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions.

Ningzhi Tang, Meng Chen, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li

CoRR, 2024

Developer Behaviors in Validating and Repairing LLM-Generated Code Using IDE and Eye Tracking.

Ningzhi Tang, Meng Chen, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li

Proceedings of the 2024 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2024

CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDE.

Ningzhi Tang, Junwen An, Meng Chen, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

2023

Function Call Graph Context Encoding for Neural Source Code Summarization.

Aakash Bansal, Zachary Eberhart, Zachary Karas, Yu Huang, Collin McMillan

IEEE Trans. Software Eng., September, 2023

Towards Modeling Human Attention from Eye Movements for Neural Source Code Summarization.

Aakash Bansal, Bonita Sharif, Collin McMillan

Proc. ACM Hum. Comput. Interact., May, 2023

Statement-based Memory for Neural Source Code Summarization.

Aakash Bansal, Siyuan Jiang, Sakib Haque, Collin McMillan

CoRR, 2023

A Language Model of Java Methods with Train/Test Deduplication.

Chia-Yi Su, Aakash Bansal, Vijayanta Jain, Sepideh Ghanavati, Collin McMillan

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Modeling Programmer Attention as Scanpath Prediction.

Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Label Smoothing Improves Neural Source Code Summarization.

Sakib Haque, Aakash Bansal, Collin McMillan

Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

2022

A Wizard of Oz Study Simulating API Usage Dialogues With a Virtual Assistant.

Zachary Eberhart, Aakash Bansal, Collin McMillan

IEEE Trans. Software Eng., 2022

Semantic similarity metrics for evaluating source code summarization.

Sakib Haque, Zachary Eberhart, Aakash Bansal, Collin McMillan

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

2021

Action Word Prediction for Neural Source Code Summarization.

Sakib Haque, Aakash Bansal, Lingfei Wu, Collin McMillan

Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

A Neural Question Answering System for Basic Questions about Subroutines.

Aakash Bansal, Zachary Eberhart, Lingfei Wu, Collin McMillan

Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Project-Level Encoding for Neural Source Code Summarization of Subroutines.

Aakash Bansal, Sakib Haque, Collin McMillan

Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

Ensemble Models for Neural Source Code Summarization of Subroutines.

Alexander LeClair, Aakash Bansal, Collin McMillan

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

2020

The Apiza Corpus: API Usage Dialogues with a Simulated Virtual Assistant.

Zachary Eberhart, Aakash Bansal, Collin McMillan

CoRR, 2020