EUSES
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A conceptual model for measuring the complexity of spreadsheets
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A maintainability checklist for spreadsheets
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Automatically extracting class diagrams from spreadsheets
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CACheck: Detecting and repairing cell arrays in spreadsheets
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CUSTODES: Automatic spreadsheet cell clustering and smell detection using strong and weak features
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Detecting and refactoring code smells in spreadsheet formulas
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Detecting and visualizing inter-worksheet smells in spreadsheets
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Detecting code smells in spreadsheet formulas
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Detecting faulty empty cells in spreadsheets
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Detecting table clones and smells in spreadsheets
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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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LAMBDA and LET have changed how we write formulae
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Links
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Melford: Using neural networks to find spreadsheet errors
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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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Refactoring meets spreadsheet formulas
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The EUSES spreadsheet corpus: A shared resource for supporting experimentation with spreadsheet dependability mechanisms
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The use of charts, pivot tables, and array formulas in two popular spreadsheet corpora
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