Migration of Monolithic Systems to Microservices using AI: A Systematic Mapping Study

  • Ana Martínez Saucedo UADE / INTEC / CONICET / UNICEN
  • Guillermo Rodríguez CONICET / UNICEN


The popularity of microservices architecture has been increasing considerably because of its capacity to alleviate monolithic architecture issues. Nonetheless, the migration of monolith systems to microservices is a complex task. This work aims to analyze and characterize the state of the art on migrating monolithic applications towards microservices (semi-) automatically using Artificial Intelligence (AI) techniques by applying a systematic mapping methodology. Results showed that clustering is the preferred IA technique to decompose a monolith, cited by 63% out of the 22 reviewed studies. Moreover, the most prevailing input type used in migration techniques was source code (36.4%).


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SAUCEDO, Ana Martínez; RODRÍGUEZ, Guillermo. Migration of Monolithic Systems to Microservices using AI: A Systematic Mapping Study. In: CONGRESSO IBERO-AMERICANO EM ENGENHARIA DE SOFTWARE (CIBSE), 27. , 2024, Curitiba/PR. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2024 . p. 1-15. DOI: https://doi.org/10.5753/cibse.2024.28435.