
TL;DR
Inclusion analysis is a black box testing method that improves the verification of financial ratios in spreadsheets, making error detection faster and more effective than traditional code inspection.
Contribution
This paper introduces inclusion analysis as a novel black box testing technique specifically designed for verifying financial ratios in spreadsheets.
Findings
Faster identification of omission errors in financial spreadsheets
More effective than code inspection for key financial ratios
Simplifies the checking process for spreadsheet models
Abstract
Inclusion analysis is the name given by Operis to a black box testing technique that it has found to make the checking of key financial ratios calculated by spreadsheet models quicker, easier and more likely to find omission errors than code inspection.
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Taxonomy
TopicsSpreadsheets and End-User Computing
