Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/37955
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Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Abreu, Rui | por |
dc.contributor.author | Cunha, Jácome Miguel Costa | por |
dc.contributor.author | Fernandes, João Paulo Sousa Ferreira | por |
dc.contributor.author | Martins, Pedro Miguel Ribeiro | por |
dc.contributor.author | Perez, Alexandre | por |
dc.contributor.author | Saraiva, João Alexandre | por |
dc.date.accessioned | 2015-11-03T19:03:14Z | - |
dc.date.available | 2015-11-03T19:03:14Z | - |
dc.date.issued | 2014 | - |
dc.identifier.isbn | 9780769553030 | por |
dc.identifier.issn | 1063-6773 | - |
dc.identifier.uri | https://hdl.handle.net/1822/37955 | - |
dc.description.abstract | Despite being staggeringly error prone, spreadsheets are a highly flexible programming environment that is widely used in industry. In fact, spreadsheets are widely adopted for decision making, and decisions taken upon wrong (spreadsheet-based) assumptions may have serious economical impacts on businesses, among other consequences. This paper proposes a technique to automatically pinpoint potential faults in spreadsheets. It combines a catalog of spreadsheet smells that provide a first indication of a potential fault, with a generic spectrum-based fault localization strategy in order to improve (in terms of accuracy and false positive rate) on these initial results. Our technique has been implemented in a tool which helps users detecting faults.To validate the proposed technique, we consider a wellknown and well-documented catalog of faulty spreadsheets. Our experiments yield two main results: we were able to distinguish between smells that can point to faulty cells from smells and those that are not capable of doing so; and we provide a technique capable of detecting a significant number of errors: two thirds of the cells labeled as faulty are in fact (documented) errors. | por |
dc.language.iso | eng | por |
dc.publisher | IEEE | por |
dc.rights | openAccess | por |
dc.title | Smelling faults in spreadsheets | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6976077 | por |
sdum.publicationstatus | published | por |
oaire.citationStartPage | 111 | por |
oaire.citationEndPage | 120 | por |
oaire.citationConferencePlace | Victoria, BC | por |
oaire.citationTitle | International Conference on Software Maintenance and Evolution | por |
dc.identifier.doi | 10.1109/ICSME.2014.33 | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | Proceedings-Ieee International Conference on Software Maintenance | por |
sdum.conferencePublication | International Conference on Software Maintenance and Evolution | por |
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