@INPROCEEDINGS{Moha08-LMO-DefautConception,
   AUTHOR       = {Naouel Moha and Foutse Khomh and Yann-Ga�l Gu�h�neuc},
   BOOKTITLE    = {Actes du 14<sup>e</sup> colloque Langages et Mod�les � Objets (LMO)},
   TITLE        = {G�n�ration automatique d'algorithmes de d�tection des 
      d�fauts de conception},
   YEAR         = {2008},
   OPTADDRESS   = {},
   OPTCROSSREF  = {},
   EDITOR       = {Mireille Blay-Fornarino},
   MONTH        = {mars},
   NOTE         = {13 pages.},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {93&ndash;106},
   PUBLISHER    = {�ditions C�padu�s},
   OPTSERIES    = {},
   OPTVOLUME    = {},
   KEYWORDS     = {Topic: <b>Code and design smells</b>, 
      Rubrique : <b>mauvaises pratiques</b>, Colloque : LMO},
   URL          = {http://www.ptidej.net/publications/documents/LMO08a.doc.pdf},
   PDF          = {http://www.ptidej.net/publications/documents/LMO08a.ppt.pdf},
   ABSTRACT     = {Les d�fauts de conception sont des probl�mes r�currents 
      de conception qui diminuent la qualit� des programmes et donc 
      freinent leur d�veloppement et maintenance. Plusieurs approches 
      outill�es de d�tection des d�fauts ont �t� propos�es dans la 
      litt�rature mais, � notre connaissance, elles utilisent toutes des 
      algorithmes de d�tection ad hoc, ce qui rend difficile leur 
      g�n�ralisation � d'autres d�fauts, et elles sont bas�es 
      principalement sur des m�triques, qui ne rendent pas compte de 
      certaines caract�ristiques importantes des syst�mes analys�s, telle 
      leur architecture. Dans cet article, nous d�veloppons notre approche 
      bas�e sur un m�ta-mod�le des d�fauts de conception en pr�sentant une 
      g�n�ration automatique des algorithmes de d�tection � partir de 
      gabarits. Nous pr�sentons aussi les performances de la g�n�ration et 
      �valuons les algorithmes g�n�r�s en terme de pr�cision et de rappel. 
      Nous fournissons ainsi des moyens concrets pour automatiser la 
      g�n�ration des algorithmes de d�tection et donc de d�tecter de 
      nouveaux d�fauts tout en prenant en compte toutes les 
      caract�ristiques des syst�mes.}
}

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Plusieurs approches outill�es de d�tection des d�fauts ont �t� propos�es dans la litt�rature mais, � notre connaissance, elles utilisent toutes des algorithmes de d�tection ad hoc, ce qui rend difficile leur g�n�ralisation � d'autres d�fauts, et elles sont bas�es principalement sur des m�triques, qui ne rendent pas compte de certaines caract�ristiques importantes des syst�mes analys�s, telle leur architecture. Dans cet article, nous d�veloppons notre approche bas�e sur un m�ta-mod�le des d�fauts de conception en pr�sentant une g�n�ration automatique des algorithmes de d�tection � partir de gabarits. Nous pr�sentons aussi les performances de la g�n�ration et �valuons les algorithmes g�n�r�s en terme de pr�cision et de rappel. Nous fournissons ainsi des moyens concrets pour automatiser la g�n�ration des algorithmes de d�tection et donc de d�tecter de nouveaux d�fauts tout en prenant en compte toutes les caract�ristiques des syst�mes.","bibtex":"@INPROCEEDINGS{Moha08-LMO-DefautConception,\r\n AUTHOR = {Naouel Moha and Foutse Khomh and Yann-Ga�l Gu�h�neuc},\r\n BOOKTITLE = {Actes du 14^e colloque Langages et Mod�les � Objets (LMO)},\r\n TITLE = {G�n�ration automatique d'algorithmes de d�tection des \r\n d�fauts de conception},\r\n YEAR = {2008},\r\n OPTADDRESS = {},\r\n OPTCROSSREF = {},\r\n EDITOR = {Mireille Blay-Fornarino},\r\n MONTH = {mars},\r\n NOTE = {13 pages.},\r\n OPTNUMBER = {},\r\n OPTORGANIZATION = {},\r\n PAGES = {93&ndash;106},\r\n PUBLISHER = {�ditions C�padu�s},\r\n OPTSERIES = {},\r\n OPTVOLUME = {},\r\n KEYWORDS = {Topic: <b>Code and design smells</b>, \r\n Rubrique : <b>mauvaises pratiques</b>, Colloque : LMO},\r\n URL = {http://www.ptidej.net/publications/documents/LMO08a.doc.pdf},\r\n PDF = {http://www.ptidej.net/publications/documents/LMO08a.ppt.pdf},\r\n ABSTRACT = {Les d�fauts de conception sont des probl�mes r�currents \r\n de conception qui diminuent la qualit� des programmes et donc \r\n freinent leur d�veloppement et maintenance. Plusieurs approches \r\n outill�es de d�tection des d�fauts ont �t� propos�es dans la \r\n litt�rature mais, � notre connaissance, elles utilisent toutes des \r\n algorithmes de d�tection ad hoc, ce qui rend difficile leur \r\n g�n�ralisation � d'autres d�fauts, et elles sont bas�es \r\n principalement sur des m�triques, qui ne rendent pas compte de \r\n certaines caract�ristiques importantes des syst�mes analys�s, telle \r\n leur architecture. Dans cet article, nous d�veloppons notre approche \r\n bas�e sur un m�ta-mod�le des d�fauts de conception en pr�sentant une \r\n g�n�ration automatique des algorithmes de d�tection � partir de \r\n gabarits. Nous pr�sentons aussi les performances de la g�n�ration et \r\n �valuons les algorithmes g�n�r�s en terme de pr�cision et de rappel. \r\n Nous fournissons ainsi des moyens concrets pour automatiser la \r\n g�n�ration des algorithmes de d�tection et donc de d�tecter de \r\n nouveaux d�fauts tout en prenant en compte toutes les \r\n caract�ristiques des syst�mes.}\r\n}\r\n\r\n","author_short":["Moha, N.","Khomh, F.","Gu�h�neuc, Y."],"editor_short":["Blay-Fornarino, M."],"key":"Moha08-LMO-DefautConception","id":"Moha08-LMO-DefautConception","bibbaseid":"moha-khomh-guhneuc-gnrationautomatiquedalgorithmesdedtectiondesdfautsdeconception-2008","role":"author","urls":{"Paper":"http://www.ptidej.net/publications/documents/LMO08a.doc.pdf"},"keyword":["Topic: <b>Code and design smells</b>","Rubrique : <b>mauvaises pratiques</b>","Colloque : LMO"],"metadata":{"authorlinks":{"gu�h�neuc, 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