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possible to identify notable contributions from coun-
tries such as China, the United States and Brazil.
There is evidence of collective effort to face water
management challenges.
The open design methodology contributed by sys-
tematically identifying the perspectives of interested
parties, highlighting different concerns and needs in
different layers of society, bringing useful elements
to the discussion for the participatory and effective
construction of SWM.
The study contributes significantly to understand-
ing and addressing critical issues related to wa-
ter management in smart cities, offering relevant
knowledge, innovative solutions and a collaborative
methodology to address these challenges effectively
and sustainably.
ACKNOWLEDGEMENTS
This work is financially supported by the Coordina-
tion for the Improvement of Higher Education Per-
sonnel (CAPES) - Program of Academic Excellence
(PROEX).
REFERENCES
Beal, C. D. and Flynn, J. (2015). Toward the digital water
age: Survey and case studies of australian water utility
smart-metering programs. Utilities Policy, 32:29–37.
Booysen, M. J., Visser, M., and Burger, R. (2019). Tem-
poral case study of household behavioural response to
cape town’s ”day zero” using smart meter data. WA-
TER RESEARCH, 149:414–420. Times Cited in Web
of Science Core Collection: 48 Total Times Cited: 48
Cited Reference Count: 49.
Buchdid, S. B., Pereira, R., and Baranauskas, M. C. (2019).
Pro-idtv: A sociotechnical process model for design-
ing idtv applications. Journal of Systems and Soft-
ware, 154:234–254.
Campisano, A., Ple, J. C., Muschalla, D., Pleau, M., and
Vanrolleghem, P. A. (2013). Potential and limitations
of modern equipment for real time control of urban
wastewater systems. Urban Water Journal, 10:300–
311.
da Silva J
´
unior, D. P., Baranauskas, M. C. C., and Pereira,
R. (2022). A socially-aware perspective to understand
and fight violence against children and adolescents.
pages 26–39.
Dawood, T., Elwakil, E., Novoa, H. M., and Delgado, J.
F. G. (2022). Deterioration modeling and failure anal-
ysis of water distribution networks. pages 150–153.
Fuentes, H. and Mauricio, D. (2020). Smart water con-
sumption measurement system for houses using iot
and cloud computing. Environmental Monitoring and
Assessment, 192. Times Cited in Web of Science Core
Collection: 25 Total Times Cited: 25 Cited Reference
Count: 34.
Gonc¸alves, F. M., Prado, A., and Baranauskas, M. C. C.
(2021). Visualizing deliberation and design rationale:
A case study in the opendesign platform.
Hemdan, E. E.-D., Essa, Y. M., Shouman, M., El-Sayed,
A., and Moustafa, A. N. (2023). An efficient iot based
smart water quality monitoring system. Multimedia
Tools and Applications, 82:28827–28851.
Kitchenham, B., Charters, S., et al. (2007). Guidelines for
performing systematic literature reviews in software
engineering.
March, H.,
´
Alvaro Francisco Morote, Rico, A.-M., and
Saur
´
ı, D. (2017). Household smart water metering in
spain: Insights from the experience of remote meter
reading in alicante. Sustainability, 9:582.
Munir, M. S., Bajwa, I. S., and Cheema, S. M. (2019).
An intelligent and secure smart watering system using
fuzzy logic and blockchain. Computers & Electrical
Engineering, 77:109–119. Times Cited in Web of Sci-
ence Core Collection: 61 Total Times Cited: 61 Cited
Reference Count: 26.
Nascimento, M. D. (2022). Enabling low-cost automatic
water leakage detection: a semi-supervised, automl-
based approach. Urban Water Journal, pages 1–11.
Nguyen, K. A., Stewart, R. A., Zhang, H., Sahin, O., and
Siriwardene, N. (2018). Re-engineering traditional
urban water management practices with smart meter-
ing and informatics. Environmental Modelling & Soft-
ware, 101:256–267.
Pereira, R., Baranauskas, M. C. C., and da Silva, S. R. P.
(2013). Social software and educational technology:
Informal, formal and technical values. Journal of Ed-
ucational Technology & Society, 16:4–14.
Pesantez, J. E., Berglund, E. Z., and Kaza, N. (2020). Smart
meters data for modeling and forecasting water de-
mand at the user-level. Environmental Modelling &
Software, 125. Times Cited in Web of Science Core
Collection: 46 Total Times Cited: 46 Cited Reference
Count: 82.
Pimenta, N. and Chaves, P. (2021). Study and design of
a retrofitted smart water meter solution with energy
harvesting integration. Discover Internet of Things,
1:10.
Reis, J. C., Maike, V. R. M. L., Duarte, E. F., Gonc¸alves,
F. M., de Franc¸a, B. B. N., Bonacin, R., Pereira, R.,
and Baranauskas, M. C. C. (2018). Combinando de-
sign participativo e hist
´
oria de usu
´
arios para levanta-
mento de funcionalidades no opendesign.
UN, U. N. (2015). 17 goals to transform our world. Ac-
cessed in 08/06/2022. Available at https://www.un.
org/en/exhibits/page/sdgs-17-goals-transform-world.
Wang, S. and Li, M. (2021). Research on public safety
emergency management of “smart city”. pages 169–
172.
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