Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/36469

TítuloAutomatically inferring ClassSheet models from spreadsheets
Autor(es)Cunha, Jácome
Erwig, Martin
Saraiva, João Alexandre
Data2010
EditoraIEEE
Resumo(s)Many errors in spreadsheet formulas can be avoided if spreadsheets are built automatically from higher-level models that can encode and enforce consistency constraints. However, designing such models is time consuming and requires expertise beyond the knowledge to work with spreadsheets. Legacy spreadsheets pose a particular challenge to the approach of controlling spreadsheet evolution through higher-level models, because the need for a model might be overshadowed by two problems: (A) The benefit of creating a spreadsheet is lacking since the legacy spreadsheet already exists, and (B) existing data must be transferred into the new model-generated spreadsheet.To address these problems and to support the modeldriven spreadsheet engineering approach, we have developed a tool that can automatically infer ClassSheet models from spreadsheets. To this end, we have adapted a method to infer entity/relationship models from relational database to the spreadsheets/ClassSheets realm. We have implemented our techniques in the HAEXCEL framework and integrated it with the ViTSL/Gencel spreadsheet generator, which allows the automatic generation of refactored spreadsheets from the inferred ClassSheet model. The resulting spreadsheet guides further changes and provably safeguards the spreadsheet against a large class of formula errors. The developed tool is a significant contribution to spreadsheet (reverse) engineering, because it fills an important gap and allows a promising design method (ClassSheets) to be applied to a huge collection of legacy spreadsheets with minimal effort.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/36469
ISBN9780769542065
DOI10.1109/VLHCC.2010.22
ISSN1943-6092
Versão da editorahttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5635202
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:HASLab - Artigos em atas de conferências internacionais (texto completo)

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