Towards a Catalog of Spreadsheet Smells?

Abstract. Spreadsheets are considered to be the most widely used pro-gramming 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 corre-sponds to a deeper problem. Our smells have been integrated in a tool, and were computed for a large spreadsheet repository. Finally, the analy-sis of the results we obtained led to the refinement of our initial catalog