Telling Software Evolution Stories With Sonification
The comprehension of software evolution remains one of the most challenging and time-intensive tasks in software development, further complicated by the sheer size and complexity of systems. Researchers have addressed the problem in several ways, using both static and dynamic analysis. Visualization has proven to be a promising technique, and over the years a myriad of approaches in 2D and 3D have been proposed, even extending in more recent times to virtual reality (VR) and augmented reality (AR). All leverage the most used human sense, vision.
We present an approach that leverages our second most used sense, hearing, by mapping the information related to software evolution onto sounds, thus opening up an under-explored domain, the one of software sonification. Data pertaining to software evolution is intrinsically centered around time, which is one of the things that hearing as a sense is good at: processing information sequentially.
Our approach, implemented in a tool, allows to sonify the evolution of the files belonging to a software repository over time, utilizing harmonic chord progressions to represent code changes and identifying developers through musical instruments. We illustrate the feasibility of our approach with a case study, and report on insights and reflections.
Mon 28 AprDisplayed time zone: Eastern Time (US & Canada) change
11:00 - 12:30 | Empirical Findings, Future Visions, Recommendations Replications and Negative Results (RENE) / Early Research Achievements (ERA) / Tool Demonstration / Research Track at 205 Chair(s): Mark Hills Appalachian State University, Coen De Roover Vrije Universiteit Brussel, Gema Rodríguez-Pérez Department of Computer Science, Mathematics, Physics and Statistics, University of British Columbia, Okanagan Campus | ||
11:00 10mTalk | Terminal Lucidity: Envisioning the Future of the Terminal Research Track Michael MacInnis Carleton University, Olga Baysal Carleton University, Michele Lanza Software Institute - USI, Lugano Pre-print | ||
11:10 6mTalk | 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 Pre-print | ||
11:16 10mTalk | 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 6mTalk | 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 6mTalk | 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 4mTalk | 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 Pre-print | ||
11:42 10mTalk | Combining Static Analysis Techniques for Program Comprehension Using Slicito Tool Demonstration Pre-print File Attached | ||
11:52 6mTalk | Mining Code Change Patterns in Ada Projects Replications and Negative Results (RENE) | ||
11:58 6mTalk | Telling Software Evolution Stories With Sonification Early Research Achievements (ERA) | ||
12:04 10mTalk | 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 6mTalk | 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 10mLive Q&A | Session's Discussion: "Empirical Findings, Future Visions, Recommendations" Research Track | ||