Spreadsheet analysis and design
Communications of the ACM
Toward a logical/physical theory of spreadsheet modeling
ACM Transactions on Information Systems (TOIS)
The use of spreadsheets in organizations: determinants and consequences
Information and Management
What we know about spreadsheet errors
Journal of End User Computing - End User Development
Slicing spreadsheets: an integrated methodology for spreadsheet testing and debugging
Proceedings of the 2nd conference on Domain-specific languages
WYSIWYT testing in the spreadsheet paradigm: an empirical evaluation
Proceedings of the 22nd international conference on Software engineering
Is This Spreadsheet a Tax Evader? How H.M. Customs and Excise Test Spreadsheet Applications
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 4 - Volume 4
Finding High-Level Structures in Spreadsheet Programs
WCRE '02 Proceedings of the Ninth Working Conference on Reverse Engineering (WCRE'02)
Analyzing Large Spreadsheet Programs
WCRE '03 Proceedings of the 10th Working Conference on Reverse Engineering
Spatio-textual spreadsheets: geotagging via spatial coherence
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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Spreadsheet programs turned out to be the most popular end-user programming environment that has ever been released. Important decisions are based on the results of spreadsheet programs and the list of known errors with large impact is growing daily- although it surely is only the top of an iceberg.One way out of the crisis might be the introduction of software engineering techniques into spreadsheet development. Suggestions for the improvement of spreadsheet development range back as far as into the late eighties, but none has been successful yet. We argue this is either because not enough effort is put into the roll-out of the technique to the users and, mainly, because they neglect the fact that spreadsheet programmers are end-users, not willing or not able to spend any time on learning software engineering methods. We found out that most end users are willing to verify their spreadsheets, but only view have the time and skills to do really systematic testing of spreadsheets.We developed an approach to generate two orthogonal abstract representations of spreadsheet programs that are then displayed to the user by different visualisation techniques to support the auditing process. Usually, irregularities in the visualisation point out hot-spots on the spreadsheet with a high likelihood of erroneous formulas. In this paper we present new heuristics for identifying hot spots that are very efficient for large spreadsheet programs.