Mutation-based spreadsheet debugging

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@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