pycefr: Python Competency Level through Code Analysis
Issued Date
2022-01-01
Resource Type
Scopus ID
2-s2.0-85133187981
Journal Title
IEEE International Conference on Program Comprehension
Volume
2022-March
Start Page
173
End Page
177
Rights Holder(s)
SCOPUS
Bibliographic Citation
IEEE International Conference on Program Comprehension Vol.2022-March (2022) , 173-177
Suggested Citation
Robles G., Kula R.G., Ragkhitwetsagul C., Sakulniwat T., Matsumoto K., Gonzalez-Barahona J.M. pycefr: Python Competency Level through Code Analysis. IEEE International Conference on Program Comprehension Vol.2022-March (2022) , 173-177. 177. doi:10.1145/3524610.3527878 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/84390
Title
pycefr: Python Competency Level through Code Analysis
Author's Affiliation
Other Contributor(s)
Abstract
Python is known to be a versatile language, well suited both for beginners and advanced users. Some elements of the language are easier to understand than others: some are found in any kind of code, while some others are used only by experienced programmers. The use of these elements lead to different ways to code, depending on the experience with the language and the knowledge of its elements, the general programming competence and programming skills, etc. In this paper, we present pycefr, a tool that detects the use of the different elements of the Python language, effectively measuring the level of Python proficiency required to comprehend and deal with a fragment of Python code. Following the well-known Common European Framework of Reference for Languages (CEFR), widely used for natural languages, pycefr categorizes Python code in six levels, depending on the proficiency required to create and understand it. We also discuss different use cases for pycefr: iden-tifying code snippets that can be understood by developers with a certain proficiency, labeling code examples in online resources such as Stackoverflow and GitHub to suit them to a certain level of competency, helping in the onboarding process of new developers in Open Source Software projects, etc. A video shows availability and usage of the tool: https://tinyurl.com/ypdt3fwe.