Empirical Study of the Evolution of Python Questions on Stack Overflow

• Autorzy: Syam Gopika , Lal Sangeeta , Chen Tao

Identyfikatory

DOI

10.37190/e-Inf230107

• Języki publikacji: EN

Abstrakty

EN

Background: Python is a popular and easy-to-use programming language. It is constantly expanding, with new features and libraries being introduced daily for a broad range of applications. This dynamic expansion needs a robust support structure for developers to effectively utilise the language. Aim: In this study we conduct an in-depth analysis focusing on several research topics to understand the theme of Python questions and identify the challenges that developers encounter, using the questions posted on Stack Overflow. Method:We perform a quantitative and qualitative analysis of Python questions in Stack Overflow. Topic Modelling is also used to determine the most popular and difficult topics among developers. Results: The findings of this study revealed a recent surge in questions about scientific computing libraries pandas and TensorFlow. Also, we observed that the discussion of Data Structures and Formats is more popular in the Python community, whereas areas such as Installation, Deployment, and IDE are still challenging. Conclusion: This study can direct the research and development community to put more emphasis on tackling the actual issues that Python programmers are facing.

Słowa kluczowe

EN

Python programming; software development; Stack Overflow; topic modelling

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: e-Informatica Software Engineering Journal
• Rocznik: 2023
• Tom: Vol. 17, nr 1
• Strony: art. no. 230107
• Opis fizyczny: Bibliogr. 39 poz., rys., tab.

Twórcy

autor

Syam Gopika

• School of Computer Science and Mathematics, Keele University

• https://orcid.org/0000-0002-0679-2251

autor

Lal Sangeeta

• School of Computer Science and Mathematics, Keele University

• https://orcid.org/0000-0002-3734-7871

autor

Chen Tao

• Department of Computer Science, Loughborough University

• https://orcid.org/0000-0001-5025-5472

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).