Abstract
Spreadsheets are considered to be the most widely used programming language in the world, and reports have shown that 90% of real-world spreadsheets contain errors. In this work, we try to identify spreadsheet smells, a concept adapted from software, which consists of a surface indication that usually corresponds to a deeper problem. Our smells have been integrated in a tool, and were computed for a large spreadsheet repository. Finally, the analysis of the results we obtained led to the refinement of our initial catalog. © 2012 Springer-Verlag.
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CITATION STYLE
Cunha, J., Fernandes, J. P., Ribeiro, H., & Saraiva, J. (2012). Towards a catalog of spreadsheet smells. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7336 LNCS, pp. 202–216). https://doi.org/10.1007/978-3-642-31128-4_15
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