@INPROCEEDINGS{Asadi10-CSMR-IdentifyConceptsTraces,
   AUTHOR       = {Fatemeh Asadi and Di Penta, Massimiliano and 
      Giuliano Antoniol and Yann-Ga�l Gu�h�neuc},
   BOOKTITLE    = {Proceedings of the 14<sup>th</sup> European Conference on Software Maintenance and Reengineering (CSMR)},
   TITLE        = {A Heuristic-based Approach to Identify Concepts in 
      Execution Traces},
   YEAR         = {2010},
   OPTADDRESS   = {},
   OPTCROSSREF  = {},
   EDITOR       = {Rudolf Ferenc and Juan Carlos Due�as},
   MONTH        = {March},
   NOTE         = {10 pages.},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {31--40},
   PUBLISHER    = {IEEE CS Press},
   OPTSERIES    = {},
   OPTVOLUME    = {},
   KEYWORDS     = {Topic: <b>Requirements and features</b>, 
      Venue: <c>CSMR</c>},
   URL          = {http://www.ptidej.net/publications/documents/CSMR10a.doc.pdf},
   PDF          = {http://www.ptidej.net/publications/documents/CSMR10a.ppt.pdf},
   ABSTRACT     = {Concept or feature identification, \ie{} the 
      identification of the source code fragments implementing a particular 
      feature, is a crucial task during software understanding and 
      maintenance. This paper proposes an approach to identify concepts in 
      execution traces by finding cohesive and decoupled fragments of the 
      traces. The approach relies on search-based optimization techniques, 
      textual analysis of the system source code using latent semantic 
      indexing, and trace compression techniques. It is evaluated to 
      identify features from execution traces of two open source systems 
      from different domains, JHotDraw and ArgoUML. Results show that the 
      approach is always able to identify trace segments implementing 
      concepts with a high precision and, for highly cohesive concepts, 
      with a high overlap with the manually-built oracle.}
}

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