Characterizing big data software architectures: a systematic mapping study (2017)
Sena, Bruno; Allian, Ana Paula; Nakagawa, Elisa Yumi 
Fonte: Proceedings. Nome do evento: Brazilian Symposium on Components, Architectures and Reuse Software - SBCARS. Unidade: ICMC
Assuntos: ENGENHARIA DE SOFTWARE, SISTEMAS DE INFORMAÇÃO, BIG DATA, ARQUITETURA DE SOFTWARE
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SENA, Bruno e ALLIAN, Ana Paula e NAKAGAWA, Elisa Yumi. Characterizing big data software architectures: a systematic mapping study. 2017, Anais.. New York, NY: ACM, 2017. Disponível em: https://doi.org/10.1145/3132498.3132510. Acesso em: 14 nov. 2025.APA
Sena, B., Allian, A. P., & Nakagawa, E. Y. (2017). Characterizing big data software architectures: a systematic mapping study. In Proceedings. New York, NY: ACM. doi:10.1145/3132498.3132510NLM
Sena B, Allian AP, Nakagawa EY. Characterizing big data software architectures: a systematic mapping study [Internet]. Proceedings. 2017 ;[citado 2025 nov. 14 ] Available from: https://doi.org/10.1145/3132498.3132510Vancouver
Sena B, Allian AP, Nakagawa EY. Characterizing big data software architectures: a systematic mapping study [Internet]. Proceedings. 2017 ;[citado 2025 nov. 14 ] Available from: https://doi.org/10.1145/3132498.3132510
