APSEC 2022
Tue 6 - Fri 9 December 2022
Wed 7 Dec 2022 15:05 - 15:20 at Room1 - Migration and Visualization Chair(s): Siripen Pongpaichet

Python is known to be used by beginners to professional programmers. Python provides functionality to its community of users through PyPI libraries, that allow developers to reuse functionalities to an application. However, it is unknown the extent to which these PyPI libraries require proficient code in their implementation. We conjecture that PyPI contributors may decide to implement more advanced Pythonic code, or stick with more basic Python code. Are complex codes only committed by few contributors, or only to specific files? The new idea in this paper is to confirm who and where complex code is implemented. Hence, we present a visualization to show the relationship between proficient code, contributors, and files. Analyzing four PyPI projects, we are able to explore which files contain more elegant code, and which contributors committed to these files. Our results show that most files contain more basic competency files, and that not every contributor contributes competent code. We show how are visualization is able to summarize such information, and opens up different possibilities for understanding how to make elegant contributions.

Wed 7 Dec

Displayed time zone: Osaka, Sapporo, Tokyo change

14:30 - 15:40
Unified program cross-architecture migration framework model
SEIP - Software Engineering in Practice
Zhou Minhao Hunan University, Zhe Quan Hunan University, Xin Huang AECC Hunan Aviation powerplant Research Institute
Two-Stage Patch Synthesis for API Migration from Single API Usage Example
Technical Track
Daisuke Yamaguchi NTT Corporation, Takuya Iwatsuka NTT
Visualizing Contributor Code Competency for PyPI Libraries: Preliminary Results
ERA - Early Research Achievements
Indira Febriyanti Universitas Muhammadiyah Surakarta, Raula Gaikovina Kula Nara Institute of Science and Technology, Ruksit Rojpaisarnkit Nara Institute of Science and Technology, Kanchanok Kannee Nara Institute of Science and Technology, Yusuf Sulistyo Nugroho Universitas Muhammadiyah Surakarta, Kenichi Matsumoto Nara Institute of Science and Technology
Why Visualize Competitive Code? Preliminary Categories for Jupyter Notebooks
ERA - Early Research Achievements
Tasha Settewong Mahidol University, Natanon Ritta Mahidol University, Raula Gaikovina Kula Nara Institute of Science and Technology, Chaiyong Rakhitwetsagul Mahidol University, Thailand, Thanwadee Sunetnanta Mahidol University, Kenichi Matsumoto Nara Institute of Science and Technology