Spreadsheets on Trial: A Survey of Research on Spreadsheet Risks
HICSS '96 Proceedings of the 29th Hawaii International Conference on System Sciences Volume 2: Decision Support and Knowledge-Based Systems
Applying code inspection to spreadsheet testing
Journal of Management Information Systems - Special section: Strategic and competitive information systems
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An auditing protocol for spreadsheet models
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A critical review of the literature on spreadsheet errors
Decision Support Systems
Design and code inspections to reduce errors in program development
IBM Systems Journal
Gender pluralism in problem-solving software
Interacting with Computers
Towards a catalog of spreadsheet smells
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part IV
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Decision Support Systems
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Error taxonomies are useful because different types of errors have different commission and detection rates and because error mitigation techniques often are only useful for some types of errors. In the early 1990s, Panko and Halverson developed a spreadsheet error taxonomy. This paper updates that taxonomy to reflect human error research more fully. The taxonomy focuses on quantitative errors during development and testing but notes that qualitative errors are very important and that errors occur in all stages of the system development life cycle.