@INPROCEEDINGS{Moha08-FASE-DDDomainAnalysis,
   AUTHOR       = {Naouel Moha and Yann-Ga�l Gu�h�neuc and 
      Le Meur, Anne-Fran�oise and Laurence Duchien},
   BOOKTITLE    = {Proceedings of the 11<sup>th</sup> International Conference on Fundamental Approaches to Software Engineering (FASE)},
   TITLE        = {A Domain Analysis to Specify Design Defects and Generate 
      Detection Algorithms},
   YEAR         = {2008},
   OPTADDRESS   = {},
   OPTCROSSREF  = {},
   EDITOR       = {Jos� Fiadeiro and Paola Inverardi},
   MONTH        = {March-April},
   NOTE         = {15 pages.},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {276--291},
   PUBLISHER    = {Springer-Verlag},
   OPTSERIES    = {},
   OPTVOLUME    = {},
   KEYWORDS     = {Topic: <b>Code and design smells</b>, 
      Venue: <c>FASE</c>},
   URL          = {http://www.ptidej.net/publications/documents/FASE08.doc.pdf},
   PDF          = {http://www.ptidej.net/publications/documents/FASE08.ppt.pdf},
   ABSTRACT     = {Quality experts often need to identify in software 
      systems design defects, which are recurring design problems, that 
      hinder the development and maintenance. Consequently, several design 
      defect detection approaches and tools have been proposed in the 
      literature. However, we are not aware of any approach that defines 
      and reify the process of generating detection algorithms from the 
      existing textual descriptions of defects. In this paper, we introduce 
      an approach to automate the generation of detection algorithms from 
      specifications written using a domain-specific language. The 
      domain-specific is defined from a thorough domain analysis. We 
      specify several design defects, generate automatically detection 
      algorithms using templates, and validate the generated detection 
      algorithms in terms of precision and recall on \ygg@product{Xerces} 
      v2.7.0, an open-source object-oriented system.}
}

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