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 language | English |
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Title of host publication | 2016 Symposium on Applied Computing (SAC 2016) |
Publisher | ACM - Association for Computing Machinery |
Pages | 202-204 |
Number of pages | 3 |
Volume | 04-08-April-2016 |
ISBN (Electronic) | 9781450337397 |
DOIs | |
Publication status | Published - 4 Apr 2016 |
Event | 31st Annual ACM Symposium on Applied Computing, SAC 2016 - Pisa, Italy Duration: 4 Apr 2016 → 8 Apr 2016 |
Conference
Conference | 31st Annual ACM Symposium on Applied Computing, SAC 2016 |
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Country/Territory | Italy |
City | Pisa |
Period | 4/04/16 → 8/04/16 |
Keywords
- Empirical studies
- Querying
- Spreadsheets