A novel approach to formulae production and overconfidence measurement to reduce risk in spreadsheet modelling

Thorne, Simon, Ball, David and Lawson, Zoe Frances 2004. A novel approach to formulae production and overconfidence measurement to reduce risk in spreadsheet modelling. Presented at: EuSpRIG, pp. 1-12.

Preview

Text - Published Version Download (206kB) | Preview

Abstract

Research on formulae production in spreadsheets has established the practice as high risk yet unrecognised as such by industry. There are numerous software applications that are designed to audit formulae and find errors. However these are all post creation, designed to catch errors before the spreadsheet is deployed. As a general conclusion from EuSpRIG 2003 conference it was decided that the time has come to attempt novel solutions based on an understanding of human factors. Hence in this paper we examine one such possibility namely a novel example driven modelling approach. We discuss a control experiment that compares example driven modelling against traditional approaches over several progressively more difficult tests. The results are very interesting and certainly point to the value of further investigation of the example driven potential. Lastly we propose a method for statistically analysing the problem of overconfidence in spreadsheet modellers.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics Mathematics
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science
ISBN:	1902724941
Date of First Compliant Deposit:	30 March 2016
Last Modified:	10 Oct 2017 14:32
URI:	https://orca.cardiff.ac.uk/id/eprint/33642

Citation Data

Actions (repository staff only)

Edit Item