Generation of Relevant Spreadsheet Repair Candidates

Citation:
Abreu R, Hofer B, Perez A, Wotawa F.  2014.  Generation of Relevant Spreadsheet Repair Candidates. ECAI. 263

Date Presented:

August

Abstract:

Spreadsheets are amongst the most successful examples of end user programming. Because of their, still increasing, importance for companies, spreadsheets have drastic economical and societal impact. Hence, locating and fixing spreadsheet faults is important and deserves attention from the research community. A state-of-the-art technique uses genetic programming for generating repair candidates, but a limitation that hinders real-world application is that it still computes too many repair candidates. In this paper, we discuss a novel technique based on constraint solving that uses distinguishing test cases to narrow down the number of repair candidates.

Citation Key:

1999

DOI:

10.3233/978-1-61499-419-0-1027

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