SOA Antipatterns: An Approach for their Specification and Detection

SOA Antipatterns: An Approach for their Specification and Detection. Palma, F., Nayrolles, M., Moha, N., Gu�h�neuc, Y., Baudry, B., & J�z�quel, J. International Journal of Cooperative Information Systems (IJCIS), World Scientific Publishing, March, 2014. 31 pages.

Paper abstract bibtex

\def§BSSBSs\def§OASOA\def§ODASODA Like any other large and complex software systems, Service Based Systems (§BS) must evolve to fit new user requirements and execution contexts. The changes resulting from the evolution of §BS may degrade their design and quality of service (QoS) and may often cause the appearance of common poor solutions in their architecture, called \emphantipatterns, in opposition to \emphdesign patterns, which are good solutions to recurring problems. Antipatterns resulting from these changes may hinder the future maintenance and evolution of §BS. The detection of antipatterns is thus crucial to assess the design and QoS of §BS and facilitate their maintenance and evolution. However, methods and techniques for the detection of antipatterns in §BS 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 §BS. 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%.

@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>, 
      Venue: <b>IJCIS</b>},
   PUBLISHER    = {World Scientific Publishing},
   URL          = {http://www.ptidej.net/publications/documents/IJCIS14.doc.pdf},
   ABSTRACT     = {\def\SBS{SBSs}\def\SOA{SOA}\def\SODA{SODA} Like any 
      other large and complex software systems, Service Based Systems 
      (\SBS{}) must evolve to fit new user requirements and execution 
      contexts. The changes resulting from the evolution of \SBS{} may 
      degrade their design and quality of service (QoS) and may often cause 
      the appearance of common poor solutions in their architecture, called 
      \emph{antipatterns}, in opposition to \emph{design patterns}, which 
      are good solutions to recurring problems. Antipatterns resulting from 
      these changes may hinder the future maintenance and evolution of 
      \SBS{}. The detection of antipatterns is thus crucial to assess the 
      design and QoS of \SBS{} and facilitate their maintenance and 
      evolution. However, methods and techniques for the detection of 
      antipatterns in \SBS{} 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 \SBS{}. Using our approach, we specify ten well-known 
      and common antipatterns, including \textit{Multi Service} and 
      \textit{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) 
      \textit{Home-Automation}, an SBS with 13 services, and (2) 
      \textit{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\%.}
}

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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: Code and design smells, \r\n Venue: IJCIS},\r\n PUBLISHER = {World Scientific Publishing},\r\n URL = {http://www.ptidej.net/publications/documents/IJCIS14.doc.pdf},\r\n ABSTRACT = {\\def\\SBS{SBSs}\\def\\SOA{SOA}\\def\\SODA{SODA} Like any \r\n other large and complex software systems, Service Based Systems \r\n (\\SBS{}) must evolve to fit new user requirements and execution \r\n contexts. The changes resulting from the evolution of \\SBS{} may \r\n degrade their design and quality of service (QoS) and may often cause \r\n the appearance of common poor solutions in their architecture, called \r\n \\emph{antipatterns}, in opposition to \\emph{design patterns}, which \r\n are good solutions to recurring problems. Antipatterns resulting from \r\n these changes may hinder the future maintenance and evolution of \r\n \\SBS{}. 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