Authors
Andrea Kohlhase & Michael Kohlhase
Abstract
In previous work we have studied how an explicit representation of background knowledge associated with a specific spreadsheet can be exploited to alleviate usability problems with spreadsheet-based applications. We have implemented this approach in the SACHS system to provide a semantic help system for spreadsheets applications.
In this paper, we evaluate the (comprehension) coverage of SACHS on an Excel-based financial controlling system via a "Wizard-of-Oz" experiment. This shows that SACHS adds significant value, but systematically misses important classes of explanations. For judgements about the information contained in spreadsheets, we provide a first approach for an "assessment module" in SACHS.
Sample
These seven explanation types were distilled from interviews. They show the relevance ranking with respect to the importance of explanation types for providing help with the SACHS system.
Publication
2010, EuSpRIG
Full article
What we understand is what we get: Assessment in spreadsheets
