@INPROCEEDINGS{Trabelsi24-AIPA-LLMsMicroservicesGeneration,
   AUTHOR       = {Imen Trabelsi and Naouel Moha and Yann-Ga�l Gu�h�neuc},
   BOOKTITLE    = {Proceedings of the 5<sup>th</sup> International Workshop on AI-enabled Process Automation (AI-PA)},
   TITLE        = {Exploring the Systematic Use of LLMs for Microservices 
      Generation},
   YEAR         = {2024},
   OPTADDRESS   = {},
   OPTCROSSREF  = {},
   EDITOR       = {Amin Beheshti and Boualem Benatallah and Hamid Motahari},
   MONTH        = {December},
   NOTE         = {8 pages.},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {121&ndash;128},
   PUBLISHER    = {Springer},
   OPTSERIES    = {},
   OPTVOLUME    = {},
   KEYWORDS     = {Topic: <b>Evolution patterns</b>, 
      Rubrique : <b>patrons d'�volution</b>, Workshop: AI-PA},
   URL          = {http://www.ptidej.net/publications/documents/AIPA24.doc.pdf},
   PDF          = {http://www.ptidej.net/publications/documents/AIPA24.ppt.pdf},
   ABSTRACT     = {The inflexibility of monolithic architectures results in 
      a low software systems scalability and agility, compared to the 
      modular systems based on microservices that can be independently 
      developed and deployed. To facilitate the migration from monolithic 
      to microservices architecture (MSA), researchers and practitioners 
      have proposed various approaches. However, most of these works focus 
      on automating the identification of microservices, and few have 
      addressed the practical aspects of generating and deploying them. 
      This gap leaves the migration process costly and complex, relying on 
      expert intervention and manual labour to transform monolith systems 
      into microservices. In this paper, we suggest that LLMs constitute an 
      exciting but ill-studied means to automate key steps of the 
      generation of microservices, including source code restructuring, API 
      implementation, and integration of microservice patterns. We 
      introduce (1) a systematic approach for generating LLM prompts to 
      guide the migration process and (2) insights drawn from applying this 
      approach to a real-world system. Our position challenges the current 
      reliance on manual labour for MSA migration and supports LLM-assisted 
      automation, encouraging discussions on the feasibility, benefits and 
      wider impact of incorporating LLMs into the migration process. We 
      introduce (1) a systematic approach for generating LLM prompts to 
      guide the migration process and (2) insights drawn from applying this 
      approach to a real-world system. Our position challenges the current 
      reliance on manual labour for MSA migration and supports LLM-assisted 
      automation, driving the discussion on the practicality, advantages 
      and impact of including LLMs in the migration process.}
}

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To facilitate the migration from monolithic to microservices architecture (MSA), researchers and practitioners have proposed various approaches. However, most of these works focus on automating the identification of microservices, and few have addressed the practical aspects of generating and deploying them. This gap leaves the migration process costly and complex, relying on expert intervention and manual labour to transform monolith systems into microservices. In this paper, we suggest that LLMs constitute an exciting but ill-studied means to automate key steps of the generation of microservices, including source code restructuring, API implementation, and integration of microservice patterns. We introduce (1) a systematic approach for generating LLM prompts to guide the migration process and (2) insights drawn from applying this approach to a real-world system. Our position challenges the current reliance on manual labour for MSA migration and supports LLM-assisted automation, encouraging discussions on the feasibility, benefits and wider impact of incorporating LLMs into the migration process. We introduce (1) a systematic approach for generating LLM prompts to guide the migration process and (2) insights drawn from applying this approach to a real-world system. Our position challenges the current reliance on manual labour for MSA migration and supports LLM-assisted automation, driving the discussion on the practicality, advantages and impact of including LLMs in the migration process.","bibtex":"@INPROCEEDINGS{Trabelsi24-AIPA-LLMsMicroservicesGeneration,\r\n AUTHOR = {Imen Trabelsi and Naouel Moha and Yann-Ga�l Gu�h�neuc},\r\n BOOKTITLE = {Proceedings of the 5^th International Workshop on AI-enabled Process Automation (AI-PA)},\r\n TITLE = {Exploring the Systematic Use of LLMs for Microservices \r\n Generation},\r\n YEAR = {2024},\r\n OPTADDRESS = {},\r\n OPTCROSSREF = {},\r\n EDITOR = {Amin Beheshti and Boualem Benatallah and Hamid Motahari},\r\n MONTH = {December},\r\n NOTE = {8 pages.},\r\n OPTNUMBER = {},\r\n OPTORGANIZATION = {},\r\n PAGES = {121&ndash;128},\r\n PUBLISHER = {Springer},\r\n OPTSERIES = {},\r\n OPTVOLUME = {},\r\n KEYWORDS = {Topic: <b>Evolution patterns</b>, \r\n Rubrique : <b>patrons d'�volution</b>, Workshop: AI-PA},\r\n URL = {http://www.ptidej.net/publications/documents/AIPA24.doc.pdf},\r\n PDF = {http://www.ptidej.net/publications/documents/AIPA24.ppt.pdf},\r\n ABSTRACT = {The inflexibility of monolithic architectures results in \r\n a low software systems scalability and agility, compared to the \r\n modular systems based on microservices that can be independently \r\n developed and deployed. To facilitate the migration from monolithic \r\n to microservices architecture (MSA), researchers and practitioners \r\n have proposed various approaches. However, most of these works focus \r\n on automating the identification of microservices, and few have \r\n addressed the practical aspects of generating and deploying them. \r\n This gap leaves the migration process costly and complex, relying on \r\n expert intervention and manual labour to transform monolith systems \r\n into microservices. In this paper, we suggest that LLMs constitute an \r\n exciting but ill-studied means to automate key steps of the \r\n generation of microservices, including source code restructuring, API \r\n implementation, and integration of microservice patterns. We \r\n introduce (1) a systematic approach for generating LLM prompts to \r\n guide the migration process and (2) insights drawn from applying this \r\n approach to a real-world system. Our position challenges the current \r\n reliance on manual labour for MSA migration and supports LLM-assisted \r\n automation, encouraging discussions on the feasibility, benefits and \r\n wider impact of incorporating LLMs into the migration process. We \r\n introduce (1) a systematic approach for generating LLM prompts to \r\n guide the migration process and (2) insights drawn from applying this \r\n approach to a real-world system. Our position challenges the current \r\n reliance on manual labour for MSA migration and supports LLM-assisted \r\n automation, driving the discussion on the practicality, advantages \r\n and impact of including LLMs in the migration process.}\r\n}\r\n\r\n","author_short":["Trabelsi, I.","Moha, N.","Gu�h�neuc, Y."],"editor_short":["Beheshti, A.","Benatallah, B.","Motahari, H."],"key":"Trabelsi24-AIPA-LLMsMicroservicesGeneration","id":"Trabelsi24-AIPA-LLMsMicroservicesGeneration","bibbaseid":"trabelsi-moha-guhneuc-exploringthesystematicuseofllmsformicroservicesgeneration-2024","role":"author","urls":{"Paper":"http://www.ptidej.net/publications/documents/AIPA24.doc.pdf"},"keyword":["Topic: <b>Evolution patterns</b>","Rubrique : <b>patrons d'�volution</b>","Workshop: AI-PA"],"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"http://www.yann-gael.gueheneuc.net/Work/Publications/Biblio/complete-bibliography.bib","dataSources":["8vn5MSGYWB4fAx9Z4"],"keywords":["topic: <b>evolution patterns</b>","rubrique : <b>patrons d'�volution</b>","workshop: ai-pa"],"search_terms":["exploring","systematic","use","llms","microservices","generation","trabelsi","moha","gu�h�neuc"],"title":"Exploring the Systematic Use of LLMs for Microservices Generation","year":2024}