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


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 (US)
Title of host publication2016 Symposium on Applied Computing, SAC 2016
PublisherAssociation for Computing Machinery
Number of pages3
ISBN (Electronic)9781450337397
StatePublished - Apr 4 2016
Event31st Annual ACM Symposium on Applied Computing, SAC 2016 - Pisa, Italy
Duration: Apr 4 2016Apr 8 2016

Publication series

NameProceedings of the ACM Symposium on Applied Computing


Conference31st Annual ACM Symposium on Applied Computing, SAC 2016


  • Empirical studies
  • Querying
  • Spreadsheets

ASJC Scopus subject areas

  • Software


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