@ARTICLE{Gueheneuc10-SQJ-MetricalPtidejSolver,
   AUTHOR       = {Yann-Ga�l Gu�h�neuc and Jean-Yves Guyomarc'h and 
      Houari Sahraoui},
   JOURNAL      = {Software Quality Journal (SQJ)},
   TITLE        = {Improving Design Pattern Identification: a New Approach 
      and an Exploratory Study},
   YEAR         = {2010},
   MONTH        = {March},
   NOTE         = {21 pages.},
   NUMBER       = {1},
   PAGES        = {145--166},
   VOLUME       = {18},
   EDITOR       = {Rachel Harrison},
   KEYWORDS     = {Topic: <b>Design patterns</b>, Venue: <b>SQJ</b>},
   PUBLISHER    = {Springer},
   URL          = {http://www.ptidej.net/publications/documents/SQJ10.doc.pdf},
   ABSTRACT     = {The identification of occurrences of design patterns in 
      programs can help maintainers to understand the program design and 
      implementation. It can also help them to make informed changes. 
      Current identification approaches are limited to complete 
      occurrences, are time- and resource-consuming, and lead to many false 
      positives. We propose to combine a structural and a numerical 
      approach to improve the identification of complete and incomplete 
      occurrences of design patterns. We develop a structural approach 
      using explanation-based constraint programming and we enhance this 
      approach using experimentally-built numerical signatures. We show 
      that the use of numerical signatures improves the identification of 
      complete and incomplete occurrences in terms of performance and 
      precision.}
}

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