Understanding emotions of developer community towards software documentation

ASM Venigalla, S Chimalakonda - 2021 IEEE/ACM 43rd …, 2021 - ieeexplore.ieee.org
2021 IEEE/ACM 43rd International Conference on Software …, 2021ieeexplore.ieee.org
The availability of open-source projects facilitates developers to contribute and collaborate
on a wide range of projects. As a result, the developer community contributing to such open-
source projects is also increasing. Many of the projects involve frequent updates and
extensive reuses. A well-updated documentation helps in a better understanding of the
software project and also facilitates efficient contribution and reuse. Though software
documentation plays an important role in the development and maintenance of software, it …
The availability of open-source projects facilitates developers to contribute and collaborate on a wide range of projects. As a result, the developer community contributing to such open-source projects is also increasing. Many of the projects involve frequent updates and extensive reuses. A well-updated documentation helps in a better understanding of the software project and also facilitates efficient contribution and reuse. Though software documentation plays an important role in the development and maintenance of software, it also suffers from various issues that include insufficiency, inconsistency, ill-maintainability, and so on. Exploring the perception of developers towards documentation could help in understanding the reasons behind prevalent issues in software documentation. It could further aid in deciding on training that could be given to the developer community towards building more sustainable projects for society. Analyzing sentiments of contributors to a project could provide insights on understanding developer perceptions. Hence, as the first step towards this direction, we analyze sentiments of commit messages specific to the documentation of a software project. To this end, we considered the commit history of 998 GitHub projects from the GHTorrent dataset and identified 10,996 commits that correspond to the documentation of repositories. Further, we apply sentiment analysis techniques to obtain insights on the type of sentiment being expressed in commit messages of the selected commits. We observe that around 45% of the identified commit messages express trust emotion.
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