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Objective: This study presents initial findings from a Systematic Literature Review (SLR) aimed at identifying potential anti-patterns known as community smells. If not effectively addressed, these smells can lead to underlying social issues within software development teams. Methodology: To conduct this study, a Systematic Literature Review was performed, providing a detailed and structured analysis of existing research on community smells in software development teams. The article focuses on three main aspects: (i) demographic aspects of the topic, (ii) types of research, and (iii) the definition, causes, and effects of community smells according to different authors. The Systematic Literature Review followed the protocol proposed by Kitchenham, which allowed for the identification, analysis, evaluation, and in-depth investigation of the available literature. Results: A total of 49 primary studies were selected, analyzed, and evaluated, leading to the identification of 35 community smells. Among the most prominent or visible are organizational silo, black cloud, lone wolf, and bottleneck, each of these smells was examined alongside its causes and negative effects on software development collaboration. Conclusions: Through the Systematic Literature Review, the current state of research on community smells was identified, along with the main anti-patterns that contribute to their emergence. The findings suggest that these effects can hinder interaction and teamwork, leading to failures in communication and collaboration, delays in software development, incomplete or defective software artifact and the emergence of psychosocial risks.

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