DocumentCode :
3077827
Title :
Automatically Inferring ClassSheet Models from Spreadsheets
Author :
Cunha, Jácome ; Erwig, Martin ; Saraiva, João
fYear :
2010
fDate :
21-25 Sept. 2010
Firstpage :
93
Lastpage :
100
Abstract :
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 model-driven 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.
Keywords :
relational databases; spreadsheet programs; ClassSheet model; HAEXCEL framework; ViTSL-Gencel spreadsheet generator; higher-level model; legacy spreadsheet; model driven spreadsheet; relational database; Business; Context; Data models; Marketing and sales; Object oriented modeling; Programming; Unified modeling language; ClassSheets inference; Spreadsheets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Languages and Human-Centric Computing (VL/HCC), 2010 IEEE Symposium on
Conference_Location :
Leganes
ISSN :
1943-6092
Print_ISBN :
978-1-4244-8485-0
Type :
conf
DOI :
10.1109/VLHCC.2010.22
Filename :
5635202
Link To Document :
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