EUSES
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How can non-technical end users effectively test their spreadsheets?
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How effectively can spreadsheet anomalies be detected: An empirical study
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Improvements for spectrum-based fault localization in spreadsheets
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Links
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Measuring maintainability of spreadsheets in the wild
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Measuring spreadsheet formula understandability
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Melford: Using neural networks to find spreadsheet errors
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Model-based programming environments for spreadsheets
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Mutation-based spreadsheet debugging
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On the effectiveness of automatically inferred invariants in detecting regression faults in spreadsheets
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On the empirical evaluation of similarity coefficients for spreadsheets fault localization
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Quality model for spreadsheets
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Refactoring meets spreadsheet formulas
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Refactoring meets spreadsheet formulas
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Requirements for automated assessment of spreadsheet maintainability
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SGUARD: A feature-based clustering tool for effective spreadsheet defect detection
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SmellSheet Detective: A tool for detecting bad smells in spreadsheets
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Smelly spreadsheet structures: Structural analysis of spreadsheets to enhance smell detection
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SpreadCluster: Recovering versioned spreadsheets through similarity-based clustering
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Spreadsheet smells
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