Bridging the Gap: A Data-Driven Analysis of How Traditional Software Engineering Productivity Metrics Overlook Women’s Performance
Resumo
A produtividade em engenharia de software é geralmente medida por métricas como linhas de código, commits e tempo de execução de tarefas, mas essas métricas ignoram fatores subjetivos importantes, como colaboração e bem-estar. Isso afeta especialmente mulheres, que enfrentam vieses de gênero, microagressões e dupla jornada. Com base em uma pesquisa com 85 engenheiras de software no Brasil, este estudo mostra como esses desafios impactam o desempenho feminino e aponta que as métricas tradicionais não valorizam adequadamente suas contribuições. Os resultados reforçam a necessidade de um modelo mais inclusivo que reconheça tanto aspectos técnicos quanto não técnicos.Referências
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Rosser, S. V. (2004). Women, Gender, and Technology. University of Illinois Press, Urbana and Chicago.
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Storey, M.-A., Zagalsky, A., Filho, F. F., Singer, L., and German, D. M. (2017). How social and communication channels shape and challenge a participatory culture in software development. IEEE Transactions on Software Engineering.
Terrell, J., Kofink, A., Middleton, J., Rainear, C., Murphy-Hill, E., Parnin, C., and Stallings, J. (2017). Gender differences and bias in open source: Pull request acceptance of women versus men. PeerJ Computer Science, 3:e111.
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Wynn, A. T. and Correll, S. (2018). Puncturing the pipeline: Do technology companies alienate women in recruiting and retention? Harvard Business Review.
Zeller, A. (2005). The impact of program structure on code defects. ACM SIGSOFT Software Engineering Notes.
Cataldo, M., Herbsleb, J. D., and Carley, K. M. (2008). Socio-technical congruence: A framework for assessing the impact of technical and work dependencies on software development productivity. Proceedings of the ACM/IEEE International Conference on Software Engineering (ICSE).
das Empresas de Tecnologia da Informação e Comunicação, B. A. B. (2022). Mulheres na tecnologia: Panorama e perspectivas.
Fenton, N. E. and Pfleeger, S. L. (1998). Software Metrics: A Rigorous and Practical Approach. CRC Press.
for Women & Information Technology (NCWIT), N. C. (2023). Women in tech: 2023 update on representation.
Ford, D., Smith, J., Guo, P. J., and Parnin, C. (2017). Paradise unplugged: Identifying barriers for remote software development. In CHI Conference on Human Factors in Computing Systems.
Gino, F. and Coffman, K. (2021). The effect of gender on workplace recognition. Harvard Business Review.
Instituto Brasileiro de Geografia e Estatística (IBGE) (2021). Estatísticas de gênero: Indicadores sociais das mulheres no brasil. Acesso em: 20 mar. 2025.
McConnell, S. (2004). Code Complete: A Practical Handbook of Software Construction. Microsoft Press.
Murphy-Hill, E., Zimmermann, T., and Nagappan, N. (2014). Cowboys, ankle sprains, and keepers of quality: How is video game development different from software development? In Proceedings of the 36th International Conference on Software Engineering (ICSE).
na Tecnologia Brasil, P. M. (2023). Representação feminina em cargos de liderança no setor de tecnologia.
Rodríguez-Pérez, G., González-Torres, A., García-Holgado, A., and García-Peñalvo, F. J. (2021). A systematic literature review on the influence of gender in the software engineering field. Empirical Software Engineering, 26(3):1–32.
Rosser, S. V. (2004). Women, Gender, and Technology. University of Illinois Press, Urbana and Chicago.
Rosser, S. V. (2005). Through the lens of feminist theory: Focus on women and technology. Frontiers: A Journal of Women Studies, 26(1):1–23.
Roth, L. and Green, E. (2021). Gender bias and the reinforcement of exclusion in software engineering. Diversity in Tech Journal, 5(2):45–58.
Storey, M.-A., Zagalsky, A., Filho, F. F., Singer, L., and German, D. M. (2017). How social and communication channels shape and challenge a participatory culture in software development. IEEE Transactions on Software Engineering.
Terrell, J., Kofink, A., Middleton, J., Rainear, C., Murphy-Hill, E., Parnin, C., and Stallings, J. (2017). Gender differences and bias in open source: Pull request acceptance of women versus men. PeerJ Computer Science, 3:e111.
Vasilescu, B., Capiluppi, A., and Serebrenik, A. (2015). Gender, representation and online participation: A quantitative study of stack overflow. ACM.
Williams, J. C., Phillips, K. W., and Hall, E. (2016). Double Jeopardy? Gender Bias in STEM Professions. Center for WorkLife Law.
World Economic Forum (2023). Global gender gap report 2023. Acesso em: 20 mar. 2025.
Wynn, A. T. and Correll, S. (2018). Puncturing the pipeline: Do technology companies alienate women in recruiting and retention? Harvard Business Review.
Zeller, A. (2005). The impact of program structure on code defects. ACM SIGSOFT Software Engineering Notes.
Publicado
20/07/2025
Como Citar
SEABRA, Lorena M. V.; BEZERRA, Pamela T. L..
Bridging the Gap: A Data-Driven Analysis of How Traditional Software Engineering Productivity Metrics Overlook Women’s Performance. In: WOMEN IN INFORMATION TECHNOLOGY (WIT), 19. , 2025, Maceió/AL.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 94-105.
ISSN 2763-8626.
DOI: https://doi.org/10.5753/wit.2025.8364.
