Português
Abstract
This work presents the context of female underrepresentation in computing, marked by structural, cultural, and educational barriers that hinder women’s entry and permanence in the field. The objective of the study is to analyze the factors that contribute to this inequality and identify elements that promote female engagement in computing. To achieve this, a systematic review of 12 articles published between 2020 and 2025 in the IEEE Xplore database was conducted, selected based on specific criteria related to the topic. The results highlight the persistence of gender stereotypes, lack of representation, family discouragement, absence of institutional support, and limited early contact with technology, in addition to showing initiatives such as mentorship programs, workshops, educational projects, and public policies that help increase women’s interest and retention in the field. It is concluded that female participation in computing depends on continuous interventions that promote inclusion, social support, and the dismantling of stereotypes from childhood, expanding representation and ensuring equal opportunities in technology.
References
Comber, O., Motschnig, R., Göbl, B., Mayer, H., & Ceylan, E. (2021). Exploring students’ stereotypes regarding computer science and stimulating reflection on roles of women in IT. Lincoln. https://doi.org/10.1109/FIE49875.2021.9637327
Diaz-Santos, S., Cotino-Arbelo, A. E., Molina-Gil, J., & González-González, C. S. (2024). STEMming the gap: Empowering women’s initiatives in computer science. Kos Island. https://doi.org/10.1109/EDUCON60312.2024.10578900
Holanda, M., & Silva, D. (2022). Latin American women and computer science: A systematic literature mapping. https://doi.org/10.1109/TE.2021.3115460
Kleinberg, S., & Marsh, J. (2025). Where the women are: Gender imbalance in computing and faculty perceptions of theoretical and applied research. https://doi.org/10.1109/ACCESS.2025.3564170
Kramarczuk, K., Plane, J., & Atchison, K. (2021). First-generation undergraduate women: Intersectional obstacles to pursuing post-baccalaureate computing degrees. https://doi.org/10.1109/RESPECT51740.2021.9620632
Motogna, S., Alboaie, L., Todericiu, I. A., & Zaharia, C. (2022). Retaining women in computer science: The good, the bad and the ugly sides. https://doi.org/10.1145/3524501.3527598
Navarro, S., & Martín, M. (2023). Women in computer science degrees: A cross-national and longitudinal study. https://doi.org/10.1109/RITA.2023.3250555
Nebot, À., & Mugica, F. (2023). Evolution of the participation of women in university computer science studies in Spain and in Europe. https://doi.org/10.1109/FIE58773.2023.10343410
Richter, A., Yamamoto, J., & Frachtenberg, E. (2023). Why are there so few women in computer systems research? https://doi.org/10.1109/MC.2022.3219633
Rojas, C., & Bastarrica, M. (2023). Women performance in a computer science program. https://doi.org/10.1109/SCCC59417.2023.10315731
Szakonyi, A., Dawson, M., Chellasamy, H., & Vassilakos, A. (2021). Non-traditional education to advance women in computing careers in the St. Louis metro region. https://doi.org/10.1109/EDUCON46332.2021.9454075
Copyright (c) 2025 Ana Maria Fausta Bonfim Santos, Leticia Cardoso Furtado, Daniela Santos Santana

This work is licensed under a Creative Commons Attribution 4.0 International License.
All works published in REGRASP are licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).
This means that:
Anyone can copy, distribute, display, adapt, remix, and even commercially use the content published in the journal;
Provided that due credit is given to the authors and to REGRASP as the original source;
No additional permission is required for reuse, as long as the license terms are respected.
This policy complies with the principles of open access, promoting the broad dissemination of scientific knowledge.



























