User-friendly spreadsheet querying: an empirical study

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2016

Autores

Pereira, R (Autor) Outra; Saraiva, J (Autor) Outra; Cunha, J (Autor) Outra; Joao Paulo Fernandes (Autor) Outra

Ata de Conferência Internacional

Título: Proceedings of the 31st Annual ACM Symposium on Applied Computing, Pisa, Italy, April 4-8, 2016

Páginas: 202-204

31st Annual ACM Symposium on Applied Computing, SAC 2016

4 April 2016 through 8 April 2016

Indexação

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00K-H7S

DOI: 10.1145/2851613.2851910

Abstract (EN): Spreadsheets are nowadays used in a variety of contexts, including in in manipulatin large and complex data. This data is stored in a large unstructured matrix, which is hard to understand and to manipulate. Recent research has been done to manipulate and query such unstructured data, namely by proposing different query approaches to spreadsheets. In this paper we present an empirical study evaluating three recent query approaches to spreadsheets assessing their usage to query spreadsheets. The results of our study show that the end-users' productivity increases when using visual, model-driven queries are used. © 2016 ACM.

Idioma: Inglês

Tipo (Avaliação Docente): Científica