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| Content Provider | ACM Digital Library |
|---|---|
| Author | Deursen, Arie van Hermans, Felienne Pinzger, Martin |
| Abstract | Spreadsheets are often used in business, for simple tasks, as well as for mission critical tasks such as finance or forecasting. Similar to software, some spreadsheets are of better quality than others, for instance with respect to usability, maintainability or reliability. In contrast with software however, spreadsheets are rarely checked, tested or certified. In this paper, we aim at developing an approach for detecting smells that indicate weak points in a spreadsheet's design. To that end we first study code smells and transform these code smells to their spreadsheet counterparts. We then present an approach to detect the smells, and communicate located smells to spreadsheet users with data flow diagrams. We analyzed occurrences of these smells in the Euses corpus. Furthermore we conducted ten case studies in an industrial setting. The results of the evaluation indicate that smells can indeed reveal weaknesses in a spreadsheet's design, and that data flow diagrams are an appropriate way to show those weaknesses. . |
| Starting Page | 441 |
| Ending Page | 451 |
| Page Count | 11 |
| File Format | |
| ISBN | 9781467310673 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2012-06-02 |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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