Estudos sobre diversidade de gênero em comunidades de software evidenciam a baixa representatividade feminina e, por consequência, a baixa participação, geralmente medida em função do número de contribuições em código. Este trabalho analisa a participação feminina em termos da relevância dos comentários postados no issue tracking do GitHub utilizando dados de 5 comunidades open source abertas e 5 dedicadas às mulheres. Os resultados mostram que, mesmo com pouca representatividade, na média, a relevância dos comentários feitos por mulheres é similar a dos homens. Em comunidades dedicadas além da representatividade, a relevância se mostra maior.

This work presents a comparative study of gender diversity onGitHub issue tracking based on metrics such as thematic relevanceof comments, developer reputation, plataform participation timeand number of reported issues. Data were extracted and mined from5 open source and 5 dedicated to women communities. The resultsshow that, on average, the relevance of comments made by womenis similar to those made by men. In connection with previous workfrom literature, the study also shows under-representation andlow participation of women in software projects, with only 22% ofcomments posted by women and 16% of issues reported by them.Finally, the data showed a discrepancy between women and menplatform participation time, being 2 to 9 years to the former, and4 to 10 years or more to the latter, with a direct impact on thewomen’s reputation.

This work analyzes female participation in communication on GitHub’s Issue Tracking, based on thematic relevance of posted comments according to the developer’s gender relative to other metrics, such as reputation, participation time on the platform, and number of reported issues. Data from 5 open source communities and 5 communities dedicated to women was analyzed. The results indicate that, on average, the relevance of comments made by women is similar to that of men. However, the study confirms other findings in literature that highlight low levels of female representativeness and participation in projects, with just 22% of comments posted by women and 16% of issues reported by them.

The mining of software repositories generates useful and relevantknowledge for project management with direct application in effortestimates, task distribution and resource allocation. This workpresents the RIT Library, which mines communication data fromissue tracking repositories on GitHub, in order to calculate thethematic relevance of issue comments. To validate the library, atwo-step validation procedure was applied: a validation of the resultsby comparing them with the opinion of business experts; and aproof of concept, which exemplifies the use of the library in a clientapplication, highlighting how the different views of the generateddata can be useful for future analyzes in external tools.