@INPROCEEDINGS{Eaddy08-ICPC-Cerberus,
   AUTHOR       = {Marc Eaddy and Alfred V. Aho and Giuliano Antoniol and 
      Yann-Ga�l Gu�h�neuc},
   BOOKTITLE    = {Proceedings of the 16<sup>th</sup> International Conference on Program Comprehension (ICPC)},
   TITLE        = {Cerberus: Tracing Requirements to Source Code Using 
      Information Retrieval, Dynamic Analysis, and Program Analysis},
   YEAR         = {2008},
   OPTADDRESS   = {},
   OPTCROSSREF  = {},
   EDITOR       = {Ren� Krikhaar and Ralf L�mmel},
   MONTH        = {June},
   NOTE         = {10 pages.},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {53--62},
   PUBLISHER    = {IEEE CS Press},
   OPTSERIES    = {},
   OPTVOLUME    = {},
   KEYWORDS     = {Topic: <b>Requirements and features</b>, 
      Venue: <c>ICPC</c>},
   URL          = {http://www.ptidej.net/publications/documents/ICPC08b.doc.pdf},
   PDF          = {http://www.ptidej.net/publications/documents/ICPC08b.ppt.pdf},
   ABSTRACT     = {The concern location problem is to identify the source 
      code within a program related to the features, requirements, or other 
      concerns of the program. This problem is central to program 
      development and maintenance. We present a new technique called prune 
      dependency analysis that can be combined with existing techniques to 
      dramatically improve the accuracy of concern location. We developed 
      Cerberus, a potent hybrid technique for concern location that 
      combines information retrieval, execution tracing, and prune 
      dependency analysis. We used Cerberus to trace the 360 requirements 
      of RHINO, a 32,134 line Java program that implements the ECMAScript 
      international standard. In our experiment, prune dependency analysis 
      boosted the recall of information retrieval by 155\NOand execution 
      tracing by 104\%. Moreover, we show that our combined technique 
      outperformed the other techniques when run individually or in pairs.}
}

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This problem is central to program development and maintenance. We present a new technique called prune dependency analysis that can be combined with existing techniques to dramatically improve the accuracy of concern location. We developed Cerberus, a potent hybrid technique for concern location that combines information retrieval, execution tracing, and prune dependency analysis. We used Cerberus to trace the 360 requirements of RHINO, a 32,134 line Java program that implements the ECMAScript international standard. In our experiment, prune dependency analysis boosted the recall of information retrieval by 155\\NOand execution tracing by 104%. Moreover, we show that our combined technique outperformed the other techniques when run individually or in pairs.","bibtex":"@INPROCEEDINGS{Eaddy08-ICPC-Cerberus,\r\n AUTHOR = {Marc Eaddy and Alfred V. Aho and Giuliano Antoniol and \r\n Yann-Ga�l Gu�h�neuc},\r\n BOOKTITLE = {Proceedings of the 16^th International Conference on Program Comprehension (ICPC)},\r\n TITLE = {Cerberus: Tracing Requirements to Source Code Using \r\n Information Retrieval, Dynamic Analysis, and Program Analysis},\r\n YEAR = {2008},\r\n OPTADDRESS = {},\r\n OPTCROSSREF = {},\r\n EDITOR = {Ren� Krikhaar and Ralf L�mmel},\r\n MONTH = {June},\r\n NOTE = {10 pages.},\r\n OPTNUMBER = {},\r\n OPTORGANIZATION = {},\r\n PAGES = {53--62},\r\n PUBLISHER = {IEEE CS Press},\r\n OPTSERIES = {},\r\n OPTVOLUME = {},\r\n KEYWORDS = {Topic: <b>Requirements and features</b>, \r\n Venue: <c>ICPC</c>},\r\n URL = {http://www.ptidej.net/publications/documents/ICPC08b.doc.pdf},\r\n PDF = {http://www.ptidej.net/publications/documents/ICPC08b.ppt.pdf},\r\n ABSTRACT = {The concern location problem is to identify the source \r\n code within a program related to the features, requirements, or other \r\n concerns of the program. This problem is central to program \r\n development and maintenance. We present a new technique called prune \r\n dependency analysis that can be combined with existing techniques to \r\n dramatically improve the accuracy of concern location. We developed \r\n Cerberus, a potent hybrid technique for concern location that \r\n combines information retrieval, execution tracing, and prune \r\n dependency analysis. We used Cerberus to trace the 360 requirements \r\n of RHINO, a 32,134 line Java program that implements the ECMAScript \r\n international standard. In our experiment, prune dependency analysis \r\n boosted the recall of information retrieval by 155\\NOand execution \r\n tracing by 104\\%. Moreover, we show that our combined technique \r\n outperformed the other techniques when run individually or in pairs.}\r\n}\r\n\r\n","author_short":["Eaddy, M.","Aho, A. 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