Ptidej and DECOR: Identification of Design Patterns and Design Defects

Ptidej and DECOR: Identification of Design Patterns and Design Defects. Moha, N. & Gu�h�neuc, Y. November, 2007. Tool demo at the 22^nd International Conference on Automated Software Engineering.
abstract bibtex

The Ptidej project started in 2001 to study code generation from and identification of patterns. Since then, it has evolved into a complete reverse-engineering tool suite that includes several identification algorithms. It is a flexible tool suite that attempts to ease as much as possible the development of new identification and analysis algorithms. Recently, the module DECOR has been added to Ptidej and allows the detection of design defects, which are recurring design problems. In this demonstration, we particularly focus on the creation and use of identification algorithms for design patterns and defects.

@MISC{Moha07-Demo-ASE,
   AUTHOR       = {Naouel Moha and Yann-Ga�l Gu�h�neuc},
   OPTHOWPUBLISHED = {},
   MONTH        = {November},
   NOTE         = {Tool demo at the 22<sup>nd</sup> International Conference on Automated Software Engineering.},
   TITLE        = {Ptidej and DECOR: Identification of Design Patterns and 
      Design Defects},
   YEAR         = {2007},
   KEYWORDS     = {Topic: <b>Code and design smells</b>, Venue: <c>ASE</c>},
   PDF          = {http://www.ptidej.net/publications/documents/ASE07ToolDemo.ppt.pdf},
   ABSTRACT     = {The Ptidej{} project started in 2001 to study code 
      generation from and identification of patterns. Since then, it has 
      evolved into a complete reverse-engineering tool suite that includes 
      several identification algorithms. It is a flexible tool suite that 
      attempts to ease as much as possible the development of new 
      identification and analysis algorithms. Recently, the module DECOR{} 
      has been added to Ptidej{} and allows the detection of design 
      defects, which are recurring design problems. In this demonstration, 
      we particularly focus on the creation and use of identification 
      algorithms for design patterns and defects.}
}

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