Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/36156
Título: | Bidirectional transformation of model-driven spreadsheets |
Autor(es): | Cunha, Jácome Miguel Costa Fernandes, João Paulo Sousa Ferreira Mendes, Jorge Pacheco, Hugo Saraiva, João Alexandre |
Palavras-chave: | Software evolution Data evolution Bidirectional transformation Model synchronization Spreadsheets |
Data: | 2012 |
Editora: | Springer |
Revista: | Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Resumo(s): | Spreadsheets play an important role in software organizations. Indeed, in large software organizations, spreadsheets are not only used to define sheets containing data and formulas, but also to collect information from diferent systems, to adapt data coming from one system to the format required by another, to perform operations to enrich or simplify data, etc. In fact, over time many spreadsheets turn out to be used for storing and processing increasing amounts of data and supporting increasing numbers of users. Unfortunately, spreadsheet systems provide poor support for modularity, abstraction, and transformation, thus, making the maintenance, update and evolution of spreadsheets a very complex and error-prone task. We present techniques for model-driven spreadsheet engineering where we employ bidirectional transformations to maintain spreadsheet models and instances synchronized. In our setting, the business logic of spreadsheets is defined by ClassSheet models to which the spreadsheet data conforms, and spreadsheet users may evolve both the model and the data instances. Our techniques are implemented as part of the MDSheet framework: an extension for a traditional spreadsheet system. |
Tipo: | Artigo em ata de conferência |
Descrição: | Lecture Notes in Computer Science Volume 7307, 2012 |
URI: | https://hdl.handle.net/1822/36156 |
ISBN: | 978-3-642-30475-0 |
DOI: | 10.1007/978-3-642-30476-7_7 |
ISSN: | 0302-9743 |
Versão da editora: | http://link.springer.com/chapter/10.1007%2F978-3-642-30476-7_7 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
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