Diversity in Software Engineering Conferences and Journals

• URL: http://arxiv.org/abs/2310.16132v1
• Date: Tue, 24 Oct 2023 19:17:30 GMT
• Title: Diversity in Software Engineering Conferences and Journals
• Authors: Aditya Shankar Narayanan, Dheeraj Vagavolu, Nancy A Day, Meiyappan Nagappan
• Abstract summary: We study the ethnic, gender, and geographical diversity of the authors published in Software Engineering conferences and journals. Across participants and committee members, there are some communities that are significantly lower in representation. There is no conclusive evidence that papers with White authors or male authors were more likely to be cited.
• Score: 1.0432302605566328
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Diversity with respect to ethnicity and gender has been studied in open-source and industrial settings for software development. Publication avenues such as academic conferences and journals contribute to the growing technology industry. However, there have been very few diversity-related studies conducted in the context of academia. In this paper, we study the ethnic, gender, and geographical diversity of the authors published in Software Engineering conferences and journals. We provide a systematic quantitative analysis of the diversity of publications and organizing and program committees of three top conferences and two top journals in Software Engineering, which indicates the existence of bias and entry barriers towards authors and committee members belonging to certain ethnicities, gender, and/or geographical locations in Software Engineering conferences and journal publications. For our study, we analyse publication (accepted authors) and committee data (Program and Organizing committee/ Journal Editorial Board) from the conferences ICSE, FSE, and ASE and the journals IEEE TSE and ACM TOSEM from 2010 to 2022. The analysis of the data shows that across participants and committee members, there are some communities that are consistently significantly lower in representation, for example, publications from countries in Africa, South America, and Oceania. However, a correlation study between the diversity of the committees and the participants did not yield any conclusive evidence. Furthermore, there is no conclusive evidence that papers with White authors or male authors were more likely to be cited. Finally, we see an improvement in the ethnic diversity of the authors over the years 2010-2022 but not in gender or geographical diversity.

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