@INPROCEEDINGS{Abdellatif18-ICSOC-SOAMigrationIndustry,
   AUTHOR       = {Manel Abdellatif and Geoffrey Hecht and Hafedh Mili and 
      El Boussaidi, Ghizlane and Naouel Moha and Anas Shatnawi and 
      Jean Privat and Yann-Ga�l Gu�h�neuc},
   BOOKTITLE    = {Proceedings of the 16<sup>th</sup> International Conference on Service Oriented Computing (ICSOC)},
   TITLE        = {State of the Practice in Service Identification for SOA 
      Migration in Industry},
   YEAR         = {2018},
   OPTADDRESS   = {},
   OPTCROSSREF  = {},
   EDITOR       = {Claus Pahl and Maja Vukovic and Jianwei Yin},
   MONTH        = {November},
   NOTE         = {15 pages.},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {634--650},
   PUBLISHER    = {Springer},
   OPTSERIES    = {},
   OPTVOLUME    = {},
   KEYWORDS     = {Topic: <b>Code and design smells</b>, 
      Venue: <c>ICSOC</c>},
   URL          = {http://www.ptidej.net/publications/documents/ICSOC18.doc.pdf},
   PDF          = {http://www.ptidej.net/publications/documents/ICSOC18.ppt.pdf},
   ABSTRACT     = {The migration of legacy software systems to Service 
      Oriented Architectures (SOA) has become a mainstream trend for 
      modernizing enterprise software systems. A key step in SOA migration 
      is the identification of services in the target application, but it 
      is a challenging one to the extent that the potential services (1) 
      embody reusable functionalities, (2) can be developed in a 
      cost-effective manner, and (3) should be easy to maintain. In this 
      paper, we report on state of the practice of SOA migration in 
      industry. We surveyed 45 practitioners of legacy-to-SOA migration to 
      understand how migration, in general, and service identification 
      (SI), in particular are done. Key findings include: (1) reducing 
      maintenance costs is a key driver in SOA migration, (2) domain 
      knowledge and source code of legacy applications are most often used 
      respectively in a hybrid top-down and bottom-up approach for SI, (3) 
      industrial SI methods focus on domain services-as opposed to 
      technical services, (4) there is very little automation of SI in 
      industry, and (5) RESTful services and microservices are the most 
      frequent target architectures. We conclude with a set of 
      recommendations and best practices.}
}

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A key step in SOA migration is the identification of services in the target application, but it is a challenging one to the extent that the potential services (1) embody reusable functionalities, (2) can be developed in a cost-effective manner, and (3) should be easy to maintain. In this paper, we report on state of the practice of SOA migration in industry. We surveyed 45 practitioners of legacy-to-SOA migration to understand how migration, in general, and service identification (SI), in particular are done. Key findings include: (1) reducing maintenance costs is a key driver in SOA migration, (2) domain knowledge and source code of legacy applications are most often used respectively in a hybrid top-down and bottom-up approach for SI, (3) industrial SI methods focus on domain services-as opposed to technical services, (4) there is very little automation of SI in industry, and (5) RESTful services and microservices are the most frequent target architectures. 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A key step in SOA migration \r\n is the identification of services in the target application, but it \r\n is a challenging one to the extent that the potential services (1) \r\n embody reusable functionalities, (2) can be developed in a \r\n cost-effective manner, and (3) should be easy to maintain. In this \r\n paper, we report on state of the practice of SOA migration in \r\n industry. We surveyed 45 practitioners of legacy-to-SOA migration to \r\n understand how migration, in general, and service identification \r\n (SI), in particular are done. Key findings include: (1) reducing \r\n maintenance costs is a key driver in SOA migration, (2) domain \r\n knowledge and source code of legacy applications are most often used \r\n respectively in a hybrid top-down and bottom-up approach for SI, (3) \r\n industrial SI methods focus on domain services-as opposed to \r\n technical services, (4) there is very little automation of SI in \r\n industry, and (5) RESTful services and microservices are the most \r\n frequent target architectures. 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