ICPC 2025
Sun 27 - Mon 28 April 2025 Ottawa, Ontario, Canada
co-located with ICSE 2025

This program is tentative and subject to change.

Scientific software—defined as computer programs, scripts, or code used in scientific research, data analysis, modeling, or simulation—has become central to modern research. However, there is limited research on the readability and understandability of scientific code, both of which are vital for effective collaboration and reproducibility in scientific research. This study surveys 57 research scientists from various disciplines to explore their programming backgrounds, practices, and the challenges they face regarding code readability. Our findings reveal that most participants learn programming through self-study or on-the-job training, with 57.9% lacking formal instruction in writing readable code. Scientists mainly use Python and R, relying on comments and documentation for readability. While most consider code readability essential for scientific reproducibility, they often face issues with inadequate documentation and poor naming conventions, with challenges including cryptic names and inconsistent conventions. Our findings also show low adoption of code quality tools and a trend towards utilizing large language models to improve code quality. These findings offer practical insights into enhancing coding practices and supporting sustainable development in scientific software.

This program is tentative and subject to change.

Mon 28 Apr

Displayed time zone: Eastern Time (US & Canada) change

11:00 - 12:30
11:00
10m
Talk
Terminal Lucidity: Envisioning the Future of the Terminal
Research Track
Michael MacInnis , Olga Baysal Carleton University, Michele Lanza Software Institute - USI, Lugano
11:10
6m
Talk
Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists
Early Research Achievements (ERA)
Alyssia Chen University of Hawaii at Manoa, Carol Wong University of Hawaii at Manoa, Bonita Sharif University of Nebraska-Lincoln, USA, Anthony Peruma University of Hawai‘i at Mānoa
11:16
10m
Talk
Method Names in Jupyter Notebooks: An Exploratory Study
Research Track
Carol Wong University of Hawaii at Manoa, Gunnar Larsen University of Hawaii at Manoa, Rocky Huang University of Hawaii at Manoa, Bonita Sharif University of Nebraska-Lincoln, USA, Anthony Peruma University of Hawai‘i at Mānoa
11:26
6m
Talk
SCALAR: A Part-of-speech Tagger for Identifiers
Tool Demonstration
Christian Newman , Brandon Scholten Kent State University, Sophia Testa Kent State University, Joshua Behler Kent State University, Syreen Banabilah Kent State University, Michael L. Collard The University of Akron, Michael J. Decker Bowling Green State University, Mohamed Wiem Mkaouer University of Michigan - Flint, Marcos Zampieri George mason University, Eman Abdullah AlOmar Stevens Institute of Technology, USA, Reem Alsuhaibani Prince Sultan University, Anthony Peruma University of Hawai‘i at Mānoa, Jonathan I. Maletic Kent State University
11:32
6m
Talk
How do Papers Make into Machine Learning Frameworks: A Preliminary Study on TensorFlow
Early Research Achievements (ERA)
Federica Pepe University of Sannio, Claudia Farkas York University, Maleknaz Nayebi York University, Giulio Antoniol Ecole Polytechnique de Montreal, Massimiliano Di Penta University of Sannio, Italy
11:38
4m
Talk
Toward Neurosymbolic Program Comprehension
Early Research Achievements (ERA)
Alejandro Velasco William & Mary, Aya Garryyeva William and Mary, David Nader Palacio William & Mary, Antonio Mastropaolo William and Mary, USA, Denys Poshyvanyk William & Mary
11:42
10m
Talk
Combining Static Analysis Techniques for Program Comprehension Using Slicito
Tool Demonstration
Robert Husak Charles University, Jan Kofroň Charles University, Filip Zavoral Charles University
Pre-print
11:52
6m
Talk
Mining Code Change Patterns in Ada Projects
Replications and Negative Results (RENE)
Robin van Straeten Radboud University, Bin Lin Hangzhou Dianzi University
11:58
6m
Talk
Telling Software Evolution Stories With Sonification
Early Research Achievements (ERA)
Carmen Armenti Software Institute - USI, Lugano, Michele Lanza Software Institute - USI, Lugano
12:04
10m
Talk
Attributed Multiplex Learning for Analogical Third-Party Library Recommendation and Retrieval
Research Track
Baihui Sang State Key Laboratory for Novel Software Technology, Nanjing University, Liang Wang Nanjing University, Jierui Zhang Nanjing University, Xianping Tao Nanjing University
12:14
6m
Talk
LLM2FedLLM - A Tool for Simulating Federated LLMs for Software Engineering Tasks
Tool Demonstration
Jahnavi Kumar Indian Institute of Technology Tirupati, India, Siddhartha Gandu Indian Institute of Technology Tirupati, Sridhar Chimalakonda Indian Institute of Technology, Tirupati
12:20
10m
Live Q&A
Session's Discussion: "Empirical Findings, Future Visions, Recommendations"
Research Track

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