Title :
Identifying Structure in Spreadsheets
Author_Institution :
Oregon State Univ., Corvallis, OR
Abstract :
Spreadsheets are among the most commonly used programming systems in the world. Existing spreadsheets are rife with errors, some of which have serious impacts. We are working on algorithms and strategies that automatically infer the structure of spreadsheets. This information can be used to develop systems that enable end users to develop safer spreadsheets
Keywords :
programming; reliability; spreadsheet programs; programming systems; spreadsheet development; structure identification; Computer errors; Computer science education; Costs; Educational programs; Error analysis; Inspection; Mathematics; Power system modeling; Programming profession; Vehicles;
Conference_Titel :
Visual Languages and Human Centric Computing, 2004 IEEE Symposium on
Conference_Location :
Rome
Print_ISBN :
0-7803-8696-5
DOI :
10.1109/VLHCC.2004.30
