Skip to Main content Skip to Navigation
New interface
Conference papers

Testing for Distinguishing Repair Candidates in Spreadsheets – the Mussco Approach

Abstract : Companies and other organizations use spreadsheets regularly as basis for evaluation or decision-making. Hence, spreadsheets have a huge economical and societal impact and fault detection, localization, and correction in the domain of spreadsheet development and maintenance becomes more and more important. In this paper, we focus on supporting fault localization and correction given the spreadsheet and information about the expected cell values, which are in contradiction with the computed values. In particular, we present a constraint approach that computes potential root causes for observed behavioral deviations and also provide possible fixes. In our approach we compute possible fixes using spreadsheet mutation operators applied to the cells’ equations. As the number of fixes can be large, we automatically generate distinguishing test cases to eliminate those fixes that are invalid corrections. In addition, we discuss the first results of an empirical evaluation based on a publicly available spreadsheet corpus. The approach generates on average 3.1 distinguishing test cases and reports 3.2 mutants as possible fixes.
Complete list of metadata

Cited literature [22 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Friday, February 17, 2017 - 10:26:04 AM
Last modification on : Friday, February 17, 2017 - 10:37:06 AM
Long-term archiving on: : Thursday, May 18, 2017 - 1:56:01 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Rui Abreu, Simon Ausserlechner, Birgit Hofer, Franz Wotawa. Testing for Distinguishing Repair Candidates in Spreadsheets – the Mussco Approach. 27th IFIP International Conference on Testing Software and Systems (ICTSS), Nov 2015, Sharjah and Dubai, United Arab Emirates. pp.124-140, ⟨10.1007/978-3-319-25945-1_8⟩. ⟨hal-01470160⟩



Record views


Files downloads