Title :
Mutation-based spreadsheet debugging
Author :
Hofer, Birgit ; Wotawa, Franz
Author_Institution :
Inst. for Software Technol., Graz Univ. of Technol., Graz, Austria
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 55% of the spreadsheets, genetic programming is able to find a repair.
Keywords :
genetic algorithms; personal computing; program debugging; spreadsheet programs; automatic repair approach; end-user programming; genetic programming; mutation-based spreadsheet debugging; software debugging; Debugging; Genetic programming; Maintenance engineering; Manuals; Sociology; Software; Statistics; Automated Debugging; Fault Correction; Genetic Programming; Mutation; Spreadsheets;
Conference_Titel :
Software Reliability Engineering Workshops (ISSREW), 2013 IEEE International Symposium on
Conference_Location :
Pasadena, CA
DOI :
10.1109/ISSREW.2013.6688892