User-friendly spreadsheet querying: an empirical study

• Type: Article in International Conference Proceedings Book
• Date: 2016

Authors

Pereira, R (Author) Other; Saraiva, J (Author) Other; Cunha, J (Author) Other; Joao Paulo Fernandes (Author) Other

Conference proceedings International

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

Pages: 202-204

31st Annual ACM Symposium on Applied Computing, SAC 2016

4 April 2016 through 8 April 2016

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific