Publication

Towards a catalog of spreadsheet smells

View document

Bibliographic Details
Summary: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.
Main Authors:Cunha, Jácome Miguel Costa
Other Authors:Fernandes, João Paulo; Ribeiro, Hugo; Saraiva, João Alexandre
Subject:Spreadsheets Code Smells EUSES Corpus
Year:2012
Country:Portugal
Document type:conference paper
Access type:open access
Associated institution:Universidade do Minho
Language:English
Origin:RepositóriUM - Universidade do Minho
Description
Summary: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.

Funded activities

No funded projects found.