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10.1109/VLHCC.2004.29guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Header and Unit Inference for Spreadsheets Through Spatial Analyses

Published: 26 September 2004 Publication History

Abstract

This paper describes the design and implementation of a unit and header inference system for spreadsheets. The system is based on a formal model of units that we have described in previous work. Since the unit inference depends on information about headers in a spreadsheet, a realistic unit inference system requires a method for automatically determining headers. The present paper describes (1) several spatial-analysis algorithms for header inference, (2) a framework that facilitates the integration of different algorithms, and (3) the implementation of the system. The combined header and unit inference system is fully integrated into Microsoft Excel and can be used to automatically identify various kinds of errors in spreadsheets. Test results show that the system works accurately and reliably.

Cited By

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  • (2022)“It’s Freedom to Put Things Where My Mind Wants”: Understanding and Improving the User Experience of Structuring Data in SpreadsheetsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501833(1-24)Online publication date: 29-Apr-2022
  • (2020)Learning to detect table clones in spreadsheetsProceedings of the 29th ACM SIGSOFT International Symposium on Software Testing and Analysis10.1145/3395363.3397384(528-540)Online publication date: 18-Jul-2020
  • (2020)Explaining spreadsheets with spreadsheets (short paper)ACM SIGPLAN Notices10.1145/3393934.327813653:9(161-167)Online publication date: 7-Apr-2020
  • Show More Cited By

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Published In

cover image Guide Proceedings
VLHCC '04: Proceedings of the 2004 IEEE Symposium on Visual Languages - Human Centric Computing
September 2004
273 pages
ISBN:0780386965

Publisher

IEEE Computer Society

United States

Publication History

Published: 26 September 2004

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Cited By

View all
  • (2022)“It’s Freedom to Put Things Where My Mind Wants”: Understanding and Improving the User Experience of Structuring Data in SpreadsheetsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501833(1-24)Online publication date: 29-Apr-2022
  • (2020)Learning to detect table clones in spreadsheetsProceedings of the 29th ACM SIGSOFT International Symposium on Software Testing and Analysis10.1145/3395363.3397384(528-540)Online publication date: 18-Jul-2020
  • (2020)Explaining spreadsheets with spreadsheets (short paper)ACM SIGPLAN Notices10.1145/3393934.327813653:9(161-167)Online publication date: 7-Apr-2020
  • (2018)Explaining spreadsheets with spreadsheets (short paper)Proceedings of the 17th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences10.1145/3278122.3278136(161-167)Online publication date: 5-Nov-2018
  • (2018)ExceLint: automatically finding spreadsheet formula errorsProceedings of the ACM on Programming Languages10.1145/32765182:OOPSLA(1-26)Online publication date: 24-Oct-2018
  • (2018)Expandable group identification in spreadsheetsProceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering10.1145/3238147.3238222(498-508)Online publication date: 3-Sep-2018
  • (2017)Financial information description language and visualization/analysis toolsComputer Languages, Systems and Structures10.1016/j.cl.2017.05.00550:C(31-52)Online publication date: 1-Dec-2017
  • (2016)Detecting table clones and smells in spreadsheetsProceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering10.1145/2950290.2950359(787-798)Online publication date: 1-Nov-2016
  • (2016)CUSTODESProceedings of the 38th International Conference on Software Engineering10.1145/2884781.2884796(464-475)Online publication date: 14-May-2016
  • (2016)EXACTJournal of Software: Evolution and Process10.1002/smr.178728:6(483-505)Online publication date: 1-Jun-2016
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