Mutation-based spreadsheet debugging

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Hofer:2013:ISSREW,
  author =       "Birgit Hofer and Franz Wotawa",
  booktitle =    "IEEE International Symposium on Software Reliability
                 Engineering Workshops (ISSREW 2013)",
  title =        "Mutation-based spreadsheet debugging",
  year =         "2013",
  month =        "4-7 " # nov,
  pages =        "132--137",
  keywords =     "genetic algorithms, genetic programming, SBSE, Fault
                 Correction, Automated Debugging, Mutation",
  DOI =          "doi:10.1109/ISSREW.2013.6688892",
  abstract =     "Spreadsheets are the most prominent example of
                 end-user programming. Unfortunately, spreadsheets often
                 contain faults. Spreadsheets can be very complex and
                 can contain several thousand formula. Therefore,
                 debugging of spreadsheets can be a frustrating job. In
                 this paper, we explain how genetic programming can be
                 used to automatically debug spreadsheets. Therefore, we
                 adapt an automatic repair approach from the software
                 debugging domain to the spreadsheet domain. In an
                 initial empirical evaluation, we show that genetic
                 programming can be used to debug spreadsheets: For more
                 than 55percent of the spreadsheets, genetic programming
                 is able to find a repair.",
  notes =        "Also known as \cite{6688892}",
}

Genetic Programming entries for Birgit Hofer Franz Wotawa

Citations