DECOR: A Method for the Specification and Detection of Code and Design Smells

DECOR: A Method for the Specification and Detection of Code and Design Smells. Moha, N., Gu�h�neuc, Y., Duchien, L., & Le Meur, A. Transactions on Software Engineering (TSE), 36(1):20–36, IEEE CS Press, January–February, 2010. 16 pages.

Paper abstract bibtex

Topic: Code and design smells ; Rubrique : mauvaises pratiques are poor solutions to recurring implementation and design problems. They may hinder the evolution of a system by making it hard for software engineers to carry out changes. We propose three contributions to the research field related to Topic: Code and design smells ; Rubrique : mauvaises pratiques: (1) DECOR, a method that embodies and defines all the steps necessary for the specification and detection of Topic: Code and design smells ; Rubrique : mauvaises pratiques; (2) DETEX a detection technique that instantiates this method; and (3) an empirical validation in terms of precision and recall of DETEX. The originality of DETEX stems from the ability for software engineers to specify smells at a high-level of abstraction using a consistent vocabulary and domain-specific language for automatically generating detection algorithms. Using DETEX, we specify four well-known design smells: the antipatterns Blob, Functional Decomposition, Spaghetti Code, and Swiss Army Knife, and their 15 underlying code smells, and we automatically generate their detection algorithms. We apply and validate the detection algorithms in terms of precision and recall on Xerces v2.7.0, and discuss the precision of these algorithms on 11 open-source systems.

@ARTICLE{Moha09-TSE-DECOR,
   AUTHOR       = {Naouel Moha and Yann-Ga�l Gu�h�neuc and Laurence Duchien and 
      Le Meur, Anne-Fran�oise},
   JOURNAL      = {Transactions on Software Engineering (TSE)},
   TITLE        = {DECOR: A Method for the Specification and Detection of 
      Code and Design Smells},
   YEAR         = {2010},
   MONTH        = {January&ndash;February},
   NOTE         = {16 pages.},
   NUMBER       = {1},
   PAGES        = {20&ndash;36},
   VOLUME       = {36},
   EDITOR       = {Mark Harman},
   KEYWORDS     = {Topic: <b>Code and design smells</b>, 
      Rubrique : <b>mauvaises pratiques</b>, Journal: <b>TSE</b>},
   PUBLISHER    = {IEEE CS Press},
   URL          = {http://www.ptidej.net/publications/documents/TSE09.doc.pdf},
   ABSTRACT     = {Topic: <b>Code and design smells</b> ; Rubrique : 
      <b>mauvaises pratiques</b> are poor solutions to recurring 
      implementation and design problems. They may hinder the evolution of 
      a system by making it hard for software engineers to carry out 
      changes. We propose three contributions to the research field related 
      to Topic: <b>Code and design smells</b> ; Rubrique : <b>mauvaises 
      pratiques</b>: (1) DECOR, a method that embodies and defines all the 
      steps necessary for the specification and detection of Topic: <b>Code 
      and design smells</b> ; Rubrique : <b>mauvaises pratiques</b>; (2) 
      DETEX a detection technique that instantiates this method; and (3) an 
      empirical validation in terms of precision and recall of DETEX. The 
      originality of DETEX stems from the ability for software engineers to 
      specify smells at a high-level of abstraction using a consistent 
      vocabulary and domain-specific language for automatically generating 
      detection algorithms. Using DETEX, we specify four well-known design 
      smells: the antipatterns Blob, Functional Decomposition, Spaghetti 
      Code, and Swiss Army Knife, and their 15 underlying code smells, and 
      we automatically generate their detection algorithms. We apply and 
      validate the detection algorithms in terms of precision and recall on 
      Xerces v2.7.0, and discuss the precision of these algorithms on 11 
      open-source systems.}
}

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