Investigating the Impact of Developers Sentiments on Software Projects

Abstract

Several areas of knowledge are subject to the interference of social aspects in their processes. Sentiment Analysis uses Data Science techniques to support automated or semi-automated identification of human behavior and has been widely used to characterize the perception of issues from different areas from Politics to E-commerce. The objective of this paper is to analyze the impact of developers’ sentiments on open source software projects based on evidence from the literature. To achieve this goal, we selected papers from Google Scholar reporting the impact of sentiments on software practices and artifacts. We have found studies that analyzed this impact based on extracted data from different sources. Productivity, collaboration, and the software product quality can be impacted by developers’ sentiments.