Zachary Karas

According to our database, Zachary Karas authored at least 14 papers between 2021 and 2026.

Collaborative distances:

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

2026

Investigating the Feasibility of Conducting Webcam-Based Eye-Tracking Studies in Code Comprehension.

Zihan Fang, Robert Wallace, Zachary Karas, Toby Jia-Jun Li, Collin McMillan, Yu Huang

IEEE Trans. Software Eng., March, 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

Enhancing Code LLM Training with Programmer Attention.

Yifan Zhang, Chen Huang, Zachary Karas, Dung Thuy Nguyen, Kevin Leach, Yu Huang

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

Programmers' Visual Attention on Function Call Graphs During Code Summarization.

Samantha McLoughlin, Zachary Karas, Robert Wallace, Aakash Bansal, Collin McMillan, Yu Huang

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Studying Programmers Without Programming: Investigating Expertise Using Resting State fMRI.

Zachary Karas, Benjamin Gold, Violet Zhou, Noah Reardon, Thad Polk, Catie Chang, Yu Huang

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

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

Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization.

Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach, Yu Huang

Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 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

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

How Do We Read Formal Claims? Eye-Tracking and the Cognition of Proofs about Algorithms.

Hammad Ahmad, Zachary Karas, Kimberly Diaz, Amir Kamil, Jean-Baptiste Jeannin, Westley Weimer

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2021

Relating Reading, Visualization, and Coding forNew Programmers: A Neuroimaging Study.

Madeline Endres, Zachary Karas, Xiaosu Hu, Ioulia Kovelman, Westley Weimer

CoRR, 2021

Connecting the dots: rethinking the relationship between code and prose writing with functional connectivity.

Zachary Karas, Andrew Jahn, Westley Weimer, Yu Huang

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Relating Reading, Visualization, and Coding for New Programmers: A Neuroimaging Study.

Madeline Endres, Zachary Karas, Xiaosu Hu, Ioulia Kovelman, Westley Weimer

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021