@ARTICLE{Abdelatif20-JSS-TaxonomySIA,
   AUTHOR       = {Manel Abdellatif and Anas Shatnawi and Hafedh Mili and 
      Naouel Moha and El Boussaidi, Ghizlane and Geoffrey Hecht and 
      Jean Privat and Yann-Ga�l Gu�h�neuc},
   JOURNAL      = {Journal of Systems and Software (JSS)},
   TITLE        = {A Taxonomy of Service Identification Approaches for 
      Legacy Software Systems Modernization},
   YEAR         = {2020},
   MONTH        = {November},
   NOTE         = {21 pages.},
   OPTNUMBER    = {},
   PAGES        = {110868},
   VOLUME       = {173},
   EDITOR       = {Paris Avgeriou and David Shepherd},
   KEYWORDS     = {Topic: <b>Evolution patterns</b>, Venue: <b>JSS</b>},
   PUBLISHER    = {Elsevier},
   URL          = {http://www.ptidej.net/publications/documents/JSS21a.doc.pdf},
   ABSTRACT     = {The success of modernizing legacy software systems to 
      Service-Oriented Architecture (SOA) depends on Service Identification 
      Approaches (SIAs), which identify reusable functionalities that could 
      become services. The literature describes several SIAs. However, the 
      selection of an identification approach that is suitable for a 
      practitioner is difficult because it depends on several factors, 
      including the goal of modernization, the available legacy artifacts, 
      the organization's development process, the desired output, and the 
      usability of the approach. Accordingly, to select a suitable service 
      identification approach, a practitioner must have a comprehensive 
      view of existing techniques. We report a systematic literature review 
      (SLR) that covers 41 SIAs based on software-systems analyses. Based 
      on this SLR, we create a taxonomy of SIAs and build a multi-layer 
      classification of existing identification approaches. We start from a 
      high-level classification based on the used inputs, the applied 
      processes, the given outputs, and the usability of the SIAs. We then 
      divide each category into a fine-grained taxonomy that helps 
      practitioners in selecting a suitable approach for identifying 
      services in legacy software systems. We build our SLR based on our 
      experience with legacy software modernization, on discussions and 
      experiences working with industrial partners, and analyses of 
      existing SIAs. We validate the correctness and the coverage of our 
      review with industrial experts who modernize(d) legacy software 
      systems to SOA. The results show that our classification conforms to 
      the industrial experts' experiences. We also show that most of the 
      studied SIAs are still at their infancy. Finally, we identify the 
      main challenges that SIAs need to address, to improve their quality.}
}

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The literature describes several SIAs. However, the selection of an identification approach that is suitable for a practitioner is difficult because it depends on several factors, including the goal of modernization, the available legacy artifacts, the organization's development process, the desired output, and the usability of the approach. Accordingly, to select a suitable service identification approach, a practitioner must have a comprehensive view of existing techniques. We report a systematic literature review (SLR) that covers 41 SIAs based on software-systems analyses. Based on this SLR, we create a taxonomy of SIAs and build a multi-layer classification of existing identification approaches. We start from a high-level classification based on the used inputs, the applied processes, the given outputs, and the usability of the SIAs. We then divide each category into a fine-grained taxonomy that helps practitioners in selecting a suitable approach for identifying services in legacy software systems. We build our SLR based on our experience with legacy software modernization, on discussions and experiences working with industrial partners, and analyses of existing SIAs. We validate the correctness and the coverage of our review with industrial experts who modernize(d) legacy software systems to SOA. The results show that our classification conforms to the industrial experts' experiences. We also show that most of the studied SIAs are still at their infancy. Finally, we identify the main challenges that SIAs need to address, to improve their quality.","bibtex":"@ARTICLE{Abdelatif20-JSS-TaxonomySIA,\r\n AUTHOR = {Manel Abdellatif and Anas Shatnawi and Hafedh Mili and \r\n Naouel Moha and El Boussaidi, Ghizlane and Geoffrey Hecht and \r\n Jean Privat and Yann-Ga�l Gu�h�neuc},\r\n JOURNAL = {Journal of Systems and Software (JSS)},\r\n TITLE = {A Taxonomy of Service Identification Approaches for \r\n Legacy Software Systems Modernization},\r\n YEAR = {2020},\r\n MONTH = {November},\r\n NOTE = {21 pages.},\r\n OPTNUMBER = {},\r\n PAGES = {110868},\r\n VOLUME = {173},\r\n EDITOR = {Paris Avgeriou and David Shepherd},\r\n KEYWORDS = {Topic: <b>Evolution patterns</b>, Venue: <b>JSS</b>},\r\n PUBLISHER = {Elsevier},\r\n URL = {http://www.ptidej.net/publications/documents/JSS21a.doc.pdf},\r\n ABSTRACT = {The success of modernizing legacy software systems to \r\n Service-Oriented Architecture (SOA) depends on Service Identification \r\n Approaches (SIAs), which identify reusable functionalities that could \r\n become services. The literature describes several SIAs. However, the \r\n selection of an identification approach that is suitable for a \r\n practitioner is difficult because it depends on several factors, \r\n including the goal of modernization, the available legacy artifacts, \r\n the organization's development process, the desired output, and the \r\n usability of the approach. Accordingly, to select a suitable service \r\n identification approach, a practitioner must have a comprehensive \r\n view of existing techniques. We report a systematic literature review \r\n (SLR) that covers 41 SIAs based on software-systems analyses. Based \r\n on this SLR, we create a taxonomy of SIAs and build a multi-layer \r\n classification of existing identification approaches. We start from a \r\n high-level classification based on the used inputs, the applied \r\n processes, the given outputs, and the usability of the SIAs. We then \r\n divide each category into a fine-grained taxonomy that helps \r\n practitioners in selecting a suitable approach for identifying \r\n services in legacy software systems. We build our SLR based on our \r\n experience with legacy software modernization, on discussions and \r\n experiences working with industrial partners, and analyses of \r\n existing SIAs. We validate the correctness and the coverage of our \r\n review with industrial experts who modernize(d) legacy software \r\n systems to SOA. The results show that our classification conforms to \r\n the industrial experts' experiences. We also show that most of the \r\n studied SIAs are still at their infancy. Finally, we identify the \r\n main challenges that SIAs need to address, to improve their quality.}\r\n}\r\n\r\n","author_short":["Abdellatif, M.","Shatnawi, A.","Mili, H.","Moha, N.","El Boussaidi, G.","Hecht, G.","Privat, J.","Gu�h�neuc, Y."],"editor_short":["Avgeriou, P.","Shepherd, D."],"key":"Abdelatif20-JSS-TaxonomySIA","id":"Abdelatif20-JSS-TaxonomySIA","bibbaseid":"abdellatif-shatnawi-mili-moha-elboussaidi-hecht-privat-guhneuc-ataxonomyofserviceidentificationapproachesforlegacysoftwaresystemsmodernization-2020","role":"author","urls":{"Paper":"http://www.ptidej.net/publications/documents/JSS21a.doc.pdf"},"keyword":["Topic: <b>Evolution patterns</b>","Venue: <b>JSS</b>"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"http://www.yann-gael.gueheneuc.net/Work/Publications/Biblio/complete-bibliography.bib","dataSources":["8vn5MSGYWB4fAx9Z4"],"keywords":["topic: <b>evolution patterns</b>","venue: <b>jss</b>"],"search_terms":["taxonomy","service","identification","approaches","legacy","software","systems","modernization","abdellatif","shatnawi","mili","moha","el boussaidi","hecht","privat","gu�h�neuc"],"title":"A Taxonomy of Service Identification Approaches for Legacy Software Systems Modernization","year":2020}