@ARTICLE{Palma14-IJCIS-SOAAntipatternsDetection,
   AUTHOR       = {Francis Palma and Mathieu Nayrolles and Naouel Moha and 
      Yann-Ga�l Gu�h�neuc and Benoit Baudry and Jean-Marc J�z�quel},
   JOURNAL      = {International Journal of Cooperative Information Systems (IJCIS)},
   TITLE        = {SOA Antipatterns: An Approach for their Specification 
      and Detection},
   YEAR         = {2014},
   MONTH        = {March},
   NOTE         = {31 pages.},
   NUMBER       = {1},
   OPTPAGES     = {},
   VOLUME       = {23},
   EDITOR       = {Mike P. Papazoglou and Gunter Schlageter},
   KEYWORDS     = {Topic: <b>Code and design smells</b>, 
      Rubrique : <b>mauvaises pratiques</b>, Journal: <b>IJCIS</b>},
   PUBLISHER    = {World Scientific Publishing},
   URL          = {http://www.ptidej.net/publications/documents/IJCIS14.doc.pdf},
   ABSTRACT     = {Like any other large and complex software systems, 
      Service Based Systems (SBSs) must evolve to fit new user requirements 
      and execution contexts. The changes resulting from the evolution of 
      SBSs may degrade their design and quality of service (QoS) and may 
      often cause the appearance of common poor solutions in their 
      architecture, called antipatterns, in opposition to design patterns, 
      which are good solutions to recurring problems. Antipatterns 
      resulting from these changes may hinder the future maintenance and 
      evolution of SBSs. The detection of antipatterns is thus crucial to 
      assess the design and QoS of SBSs and facilitate their maintenance 
      and evolution. However, methods and techniques for the detection of 
      antipatterns in SBSs are still in their infancy despite their 
      importance. In this paper, we introduce a novel and innovative 
      approach supported by a framework for specifying and detecting 
      antipatterns in SBSs. Using our approach, we specify ten well-known 
      and common antipatterns, including Multi Service and Tiny Service, 
      and automatically generate their detection algorithms. We apply and 
      validate the detection algorithms in terms of precision and recall on 
      two systems developed independently, (1) Home-Automation, an SBS with 
      13 services, and (2) FraSCAti, an open-source implementation of the 
      Service Component Architecture (SCA) standard with more than 100 
      services. This validation demonstrates that our approach enables the 
      specification and detection of SOA antipatterns with an average 
      precision of 90% and recall of 97.5%.}
}

{"_id":"e4AwTTPdbEcdsWHja","bibbaseid":"palma-nayrolles-moha-guhneuc-baudry-jzquel-soaantipatternsanapproachfortheirspecificationanddetection-2014","downloads":0,"creationDate":"2018-01-17T20:29:42.271Z","title":"SOA Antipatterns: An Approach for their Specification and Detection","author_short":["Palma, F.","Nayrolles, M.","Moha, N.","Gu�h�neuc, Y.","Baudry, B.","J�z�quel, J."],"year":2014,"bibtype":"article","biburl":"http://www.yann-gael.gueheneuc.net/Work/Publications/Biblio/complete-bibliography.bib","bibdata":{"bibtype":"article","type":"article","author":[{"firstnames":["Francis"],"propositions":[],"lastnames":["Palma"],"suffixes":[]},{"firstnames":["Mathieu"],"propositions":[],"lastnames":["Nayrolles"],"suffixes":[]},{"firstnames":["Naouel"],"propositions":[],"lastnames":["Moha"],"suffixes":[]},{"firstnames":["Yann-Ga�l"],"propositions":[],"lastnames":["Gu�h�neuc"],"suffixes":[]},{"firstnames":["Benoit"],"propositions":[],"lastnames":["Baudry"],"suffixes":[]},{"firstnames":["Jean-Marc"],"propositions":[],"lastnames":["J�z�quel"],"suffixes":[]}],"journal":"International Journal of Cooperative Information Systems (IJCIS)","title":"SOA Antipatterns: An Approach for their Specification and Detection","year":"2014","month":"March","note":"31 pages.","number":"1","optpages":"","volume":"23","editor":[{"firstnames":["Mike","P."],"propositions":[],"lastnames":["Papazoglou"],"suffixes":[]},{"firstnames":["Gunter"],"propositions":[],"lastnames":["Schlageter"],"suffixes":[]}],"keywords":"Topic: <b>Code and design smells</b>, Rubrique : <b>mauvaises pratiques</b>, Journal: <b>IJCIS</b>","publisher":"World Scientific Publishing","url":"http://www.ptidej.net/publications/documents/IJCIS14.doc.pdf","abstract":"Like any other large and complex software systems, Service Based Systems (SBSs) must evolve to fit new user requirements and execution contexts. The changes resulting from the evolution of SBSs may degrade their design and quality of service (QoS) and may often cause the appearance of common poor solutions in their architecture, called antipatterns, in opposition to design patterns, which are good solutions to recurring problems. Antipatterns resulting from these changes may hinder the future maintenance and evolution of SBSs. The detection of antipatterns is thus crucial to assess the design and QoS of SBSs and facilitate their maintenance and evolution. However, methods and techniques for the detection of antipatterns in SBSs are still in their infancy despite their importance. In this paper, we introduce a novel and innovative approach supported by a framework for specifying and detecting antipatterns in SBSs. Using our approach, we specify ten well-known and common antipatterns, including Multi Service and Tiny Service, and automatically generate their detection algorithms. We apply and validate the detection algorithms in terms of precision and recall on two systems developed independently, (1) Home-Automation, an SBS with 13 services, and (2) FraSCAti, an open-source implementation of the Service Component Architecture (SCA) standard with more than 100 services. This validation demonstrates that our approach enables the specification and detection of SOA antipatterns with an average precision of 90% and recall of 97.5%.","bibtex":"@ARTICLE{Palma14-IJCIS-SOAAntipatternsDetection,\r\n AUTHOR = {Francis Palma and Mathieu Nayrolles and Naouel Moha and \r\n Yann-Ga�l Gu�h�neuc and Benoit Baudry and Jean-Marc J�z�quel},\r\n JOURNAL = {International Journal of Cooperative Information Systems (IJCIS)},\r\n TITLE = {SOA Antipatterns: An Approach for their Specification \r\n and Detection},\r\n YEAR = {2014},\r\n MONTH = {March},\r\n NOTE = {31 pages.},\r\n NUMBER = {1},\r\n OPTPAGES = {},\r\n VOLUME = {23},\r\n EDITOR = {Mike P. Papazoglou and Gunter Schlageter},\r\n KEYWORDS = {Topic: <b>Code and design smells</b>, \r\n Rubrique : <b>mauvaises pratiques</b>, Journal: <b>IJCIS</b>},\r\n PUBLISHER = {World Scientific Publishing},\r\n URL = {http://www.ptidej.net/publications/documents/IJCIS14.doc.pdf},\r\n ABSTRACT = {Like any other large and complex software systems, \r\n Service Based Systems (SBSs) must evolve to fit new user requirements \r\n and execution contexts. The changes resulting from the evolution of \r\n SBSs may degrade their design and quality of service (QoS) and may \r\n often cause the appearance of common poor solutions in their \r\n architecture, called antipatterns, in opposition to design patterns, \r\n which are good solutions to recurring problems. Antipatterns \r\n resulting from these changes may hinder the future maintenance and \r\n evolution of SBSs. The detection of antipatterns is thus crucial to \r\n assess the design and QoS of SBSs and facilitate their maintenance \r\n and evolution. However, methods and techniques for the detection of \r\n antipatterns in SBSs are still in their infancy despite their \r\n importance. In this paper, we introduce a novel and innovative \r\n approach supported by a framework for specifying and detecting \r\n antipatterns in SBSs. Using our approach, we specify ten well-known \r\n and common antipatterns, including Multi Service and Tiny Service, \r\n and automatically generate their detection algorithms. We apply and \r\n validate the detection algorithms in terms of precision and recall on \r\n two systems developed independently, (1) Home-Automation, an SBS with \r\n 13 services, and (2) FraSCAti, an open-source implementation of the \r\n Service Component Architecture (SCA) standard with more than 100 \r\n services. This validation demonstrates that our approach enables the \r\n specification and detection of SOA antipatterns with an average \r\n precision of 90% and recall of 97.5%.}\r\n}\r\n\r\n","author_short":["Palma, F.","Nayrolles, M.","Moha, N.","Gu�h�neuc, Y.","Baudry, B.","J�z�quel, J."],"editor_short":["Papazoglou, M. 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