Emotion-based analysis of programming languages on Stack Overflow | Zendy

Stefano Cagi | Zendy; Lorenzo Cozzini | Zendy; Gianfranco Lombardo | Zendy; Monica Mordonini | Zendy; Agostino Poggi | Zendy; Michele Tomaiuolo | Zendy

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Emotion-based analysis of programming languages on Stack Overflow

Author(s) -

Stefano Cagi,

Lorenzo Cozzini,

Gianfranco Lombardo,

Monica Mordonini,

Agostino Poggi,

Michele Tomaiuolo

Publication year - 2020

Publication title -

ict express

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.733

H-Index - 22

ISSN - 2405-9595

DOI - 10.1016/j.icte.2020.07.002

Subject(s) - computer science , feeling , programming language , process (computing) , classifier (uml) , software , artificial intelligence , programming paradigm , software engineering , component (thermodynamics) , natural language processing , psychology , social psychology , physics , thermodynamics

When developing a software engineering project, selecting the most appropriate programming language is a crucial step. Most often, feeling at ease with the possible options becomes almost as relevant as the technical features of the language. Therefore, it appears to be worth analyzing the role that the emotional component plays in this process. In this article, we analyze the trend of the emotions expressed by developers in 2018 on the Stack Overflow platform in posts concerning 26 programming languages. To do so, we propose a learning model trained by distant supervision and the comparison of two different classifier architectures.

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