An extensible data-driven approach for evaluating the quality of microservice architectures

Mario Cardarelli, Ludovico Iovino, Paolo Di Francesco, Amleto Di Salle, Ivano Malavolta, Patricia Lago. An extensible data-driven approach for evaluating the quality of microservice architectures. In Chih-Cheng Hung, George A. Papadopoulos, editors, Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, SAC 2019, Limassol, Cyprus, April 8-12, 2019. pages 1225-1234, ACM, 2019. [doi]

@inproceedings{CardarelliIFSML19,
  title = {An extensible data-driven approach for evaluating the quality of microservice architectures},
  author = {Mario Cardarelli and Ludovico Iovino and Paolo Di Francesco and Amleto Di Salle and Ivano Malavolta and Patricia Lago},
  year = {2019},
  doi = {10.1145/3297280.3297400},
  url = {https://doi.org/10.1145/3297280.3297400},
  researchr = {https://researchr.org/publication/CardarelliIFSML19},
  cites = {0},
  citedby = {0},
  pages = {1225-1234},
  booktitle = {Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, SAC 2019, Limassol, Cyprus, April 8-12, 2019},
  editor = {Chih-Cheng Hung and George A. Papadopoulos},
  publisher = {ACM},
  isbn = {978-1-4503-5933-7},
}