An extensible data-driven approach for evaluating the quality of microservice architectures. Cardarelli, M., Iovino, L., Francesco, P. D., Salle, A. D., Malavolta, I., & Lago, P. In Hung, C. & Papadopoulos, G. A., editors, Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, SAC 2019, Limassol, Cyprus, April 8-12, 2019, pages 1225–1234, 2019. ACM.
Paper doi bibtex @inproceedings{DBLP:conf/sac/CardarelliIFSML19,
author = {Mario Cardarelli and
Ludovico Iovino and
Paolo Di Francesco and
Amleto Di Salle and
Ivano Malavolta and
Patricia Lago},
editor = {Chih{-}Cheng Hung and
George A. Papadopoulos},
title = {An extensible data-driven approach for evaluating the quality of microservice
architectures},
booktitle = {Proceedings of the 34th {ACM/SIGAPP} Symposium on Applied Computing,
{SAC} 2019, Limassol, Cyprus, April 8-12, 2019},
pages = {1225--1234},
publisher = {{ACM}},
year = {2019},
url = {https://doi.org/10.1145/3297280.3297400},
doi = {10.1145/3297280.3297400},
timestamp = {Mon, 05 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/sac/CardarelliIFSML19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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