User-friendly spreadsheet querying

An empirical study

Rui Pereira, João Saraiva, Jácome Cunha, João Paulo Fernandes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2016 Symposium on Applied Computing (SAC 2016)
PublisherAssociation for Computing Machinery
Pages202-204
Number of pages3
Volume04-08-April-2016
ISBN (Electronic)9781450337397
DOIs
Publication statusPublished - 4 Apr 2016
Event31st Annual ACM Symposium on Applied Computing, SAC 2016 - Pisa, Italy
Duration: 4 Apr 20168 Apr 2016

Conference

Conference31st Annual ACM Symposium on Applied Computing, SAC 2016
CountryItaly
CityPisa
Period4/04/168/04/16

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Keywords

  • Empirical studies
  • Querying
  • Spreadsheets

Cite this

Pereira, R., Saraiva, J., Cunha, J., & Fernandes, J. P. (2016). User-friendly spreadsheet querying: An empirical study. In 2016 Symposium on Applied Computing (SAC 2016) (Vol. 04-08-April-2016, pp. 202-204). Association for Computing Machinery. https://doi.org/10.1145/2851613.2851910