Investigating the Impact of Developers Sentiments on Software Projects

  • Glauco de Figueiredo CarneiroEmail author
  • Rui Carigé Júnior
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1134)


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.


Sentiment analysis Software practices Software artifacts Software projects 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Glauco de Figueiredo Carneiro
    • 1
    Email author
  • Rui Carigé Júnior
    • 2
  1. 1.PPGCOMPSalvador University (UNIFACS)SalvadorBrazil
  2. 2.Federal Institute of Bahia (IFBA)SalvadorBrazil

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