Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/6204
Title: On the empirical evaluation of similarity coefficients for spreadsheets fault localization
Authors: Hofer,B
Alexandre Campos Perez
Rui Maranhão
Wotawa,F
Issue Date: 2014
Abstract: Spreadsheets are by far the most prominent example of end-user programs of ample size and substantial structural complexity. They are usually not thoroughly tested so they often contain faults. Debugging spreadsheets is a hard task due to the size and structure, which is usually not directly visible to the user, i.e., the functions are hidden and only the computed values are presented. A way to locate faulty cells in spreadsheets is by adapting software debugging approaches for traditional procedural or object-oriented programming languages. One of such approaches is spectrum-based fault localization (Sfl). In this paper, we study the impact of different similarity coefficients on the accuracy of Sfl applied to the spreadsheet domain. Our empirical evaluation shows that three of the 42 studied coefficients (Ochiai, Jaccard and Sorensen-Dice) require less effort by the user while inspecting the diagnostic report, and can also be used interchangeably without a loss of accuracy. In addition, we illustrate the influence of the number of correct and incorrect output cells on the diagnostic report. © 2014, Springer Science+Business Media New York.
URI: http://repositorio.inesctec.pt/handle/123456789/6204
http://dx.doi.org/10.1007/s10515-014-0145-3
metadata.dc.type: article
Publication
Appears in Collections:HASLab - Articles in International Journals

Files in This Item:
File Description SizeFormat 
P-00A-63Y.pdf2.32 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.