TY - GEN
T1 - User-friendly spreadsheet querying
T2 - 31st Annual ACM Symposium on Applied Computing, SAC 2016
AU - Pereira, Rui
AU - Saraiva, João
AU - Cunha, Jácome
AU - Fernandes, João Paulo
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/4/4
Y1 - 2016/4/4
N2 - 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.
AB - 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.
KW - Empirical studies
KW - Querying
KW - Spreadsheets
UR - http://www.scopus.com/inward/record.url?scp=84975856227&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84975856227&partnerID=8YFLogxK
U2 - 10.1145/2851613.2851910
DO - 10.1145/2851613.2851910
M3 - Conference contribution
AN - SCOPUS:84975856227
T3 - Proceedings of the ACM Symposium on Applied Computing
SP - 202
EP - 204
BT - 2016 Symposium on Applied Computing, SAC 2016
PB - Association for Computing Machinery
Y2 - 4 April 2016 through 8 April 2016
ER -