Towards a catalog of spreadsheet smells

  • Authors:
  • Jácome Cunha;João P. Fernandes;Hugo Ribeiro;João Saraiva

  • Affiliations:
  • HASLab / INESC TEC, Universidade do Minho, Portugal;HASLab / INESC TEC, Universidade do Minho, Portugal,Universidade do Porto, Portugal;HASLab / INESC TEC, Universidade do Minho, Portugal;HASLab / INESC TEC, Universidade do Minho, Portugal

  • Venue:
  • ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part IV
  • Year:
  • 2012

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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.