An Exploratory Study on the Predominant Programming Paradigms in Python Code
Python is a multi-paradigm programming language that fully supports object-oriented (OO) programming. The language allows writing code in a non-procedural imperative manner, using procedures, using classes, or in a functional style. To date, no one has studied what paradigm(s), if any, are predominant in Python code and projects. In this work, we first define a technique to classify Python files into predominant paradigm(s). We then automate our approach and evaluate it against human judgements, showing over 80% agreement. We then analyze over 100k open-source Python projects, automatically classifying each source file and investigating the paradigm distributions. The results indicate Python developers tend to heavily favor OO features. We also observed a positive correlation between OO and procedural paradigms and the size of the project. And despite few files or projects being predominantly functional, we still found many functional feature uses.
Wed 16 NovDisplayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change
11:00 - 12:30 | Mining Software RepositoriesResearch Papers / Demonstrations at SRC Auditorium 2 Chair(s): Timofey Bryksin JetBrains Research | ||
11:00 15mTalk | An Exploratory Study on the Predominant Programming Paradigms in Python Code Research Papers DOI Pre-print Media Attached | ||
11:15 15mTalk | An Empirical Study of Blockchain System Vulnerabilities: Modules, Types, and Patterns Research Papers Xiao Yi Chinese University of Hong Kong, Daoyuan Wu Chinese University of Hong Kong, Lingxiao Jiang Singapore Management University, Yuzhou Fang Chinese University of Hong Kong, Kehuan Zhang Chinese University of Hong Kong, Wei Zhang Nanjing University of Posts and Telecommunications DOI | ||
11:30 15mTalk | How to Better Utilize Code Graphs in Semantic Code Search? Research Papers Yucen Shi Northeastern University, Ying Yin Northeastern University, Zhengkui Wang Singapore Institute of Technology, David Lo Singapore Management University, Tao Zhang Macau University of Science and Technology, Xin Xia Huawei, Yuhai Zhao Northeastern University, Bowen Xu Singapore Management University DOI | ||
11:45 15mTalk | 23 Shades of Self-Admitted Technical Debt: An Empirical Study on Machine Learning Software Research Papers David OBrien Iowa State University, Sumon Biswas Carnegie Mellon University, Sayem Mohammad Imtiaz Iowa State University, Rabe Abdalkareem Carleton University, Emad Shihab Concordia University, Hridesh Rajan Iowa State University DOI | ||
12:00 7mTalk | WikiDoMiner: Wikipedia Domain-specific Miner Demonstrations Saad Ezzini University of Luxembourg, Sallam Abualhaija University of Luxembourg, Mehrdad Sabetzadeh University of Ottawa | ||
12:08 7mTalk | RegMiner: Mining Replicable Regression Dataset from Code Repositories Demonstrations Xuezhi Song Fudan University, Yun Lin Shanghai Jiao Tong University; National University of Singapore, Yijian Wu Fudan University, Yifan Zhang National University of Singapore, Siang Hwee Ng National University of Singapore, Xin Peng Fudan University, Jin Song Dong National University of Singapore, Hong Mei Peking University | ||