Portal de Periódicos da CAPES

Towards a Catalog of Spreadsheet Smells

2012; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-642-31128-4_15

1611-3349

Jácome Cunha, João Paulo Fernandes, Hugo Ribeiro, João Saraiva,

Mobile Crowdsensing and Crowdsourcing

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.