Joshua Behler

Orcid: 0009-0006-3104-7743

According to our database1, Joshua Behler authored at least 11 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Static Analysis and Transformation for Quantum Programming Languages [Focus: Quantum Software and Its Engineering].
IEEE Softw., 2025

Automated Fixation Error Correction to Support Eye Tracking Studies on Source Code.
Proc. ACM Hum. Comput. Interact., 2025

Scalar: A Part-of-Speech Tagger for Identifiers.
Proceedings of the 33rd IEEE/ACM International Conference on Program Comprehension, 2025

Extending Support for Analyzing Eye Tracking Studies on Python Source Code in iTrace.
Proceedings of the 2025 Symposium on Eye Tracking Research and Applications, 2025

Evaluating the Effects on Comprehension in Python Code from Idiomatic Development.
Proceedings of the 2025 Symposium on Eye Tracking Research and Applications, 2025

2024
Extending iTrace-Visualize to Support Token-based Heatmaps and Region of Interest Scarf Plots for Source Code.
Proceedings of the IEEE Working Conference on Software Visualization, 2024

Supporting Static Program Analysis and Transformation of Quantum-Based Languages.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Stereocode: A Tool for Automatic Identification of Method and Class Stereotypes for Software Systems.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024

2023
iTrace-Visualize: Visualizing Eye-Tracking Data for Software Engineering Studies.
Proceedings of the IEEE Working Conference on Software Visualization, 2023

iTrace-Toolkit: A Pipeline for Analyzing Eye-Tracking Data of Software Engineering Studies.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

2022
Deja Vu: semantics-aware recording and replay of high-speed eye tracking and interaction data to support cognitive studies of software engineering tasks - methodology and analyses.
Empir. Softw. Eng., 2022


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