@conference {conf/vl/CunhaES10,
	title = {Automatically Inferring ClassSheet Models from Spreadsheets},
	booktitle = {Proceedings of the Symposium on Visual Languages and Human-Centric Computing - VL/HCC},
	series = {VLHCC {\textquoteright}10},
	year = {2010},
	month = {September},
	pages = {93{\textendash}100},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	address = {Madrid, Spain},
	abstract = {<p>Many errors in spreadsheet formulas can be avoided if spreadsheets are built automatically from higher-level models that can encode and enforce consistency constraints.<br />
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.</p>
},
	keywords = {ClassSheets inference, Spreadsheets},
	isbn = {978-0-7695-4206-5},
	doi = {http://dx.doi.org/10.1109/VLHCC.2010.22},
	url = {http://dx.doi.org/10.1109/VLHCC.2010.22},
	attachments = {https://haslab.uminho.pt/sites/default/files/jacome/files/vl-hcc10.pdf},
	author = {J{\'a}come Cunha and Martin Erwig and Jo{\~a}o Alexandre Saraiva}
}