Even obvious, elementary errors in very simple, clearly documented spreadsheets are... difficult to find.
Galletta, et al (1993)
Despite overwhelming and unanimous evidence... companies have continued to ignore spreadsheet error risks.
Panko (2014)
Spreadsheet shortcomings can significantly hamper an organization's business operation.
Reschenhofer & Matthes (2015)
Spreadsheet errors... a great, often unrecognised, risk to corporate decision making & financial integrity.
Chadwick (2002)
The quality and reliability of spreadsheets is known to be poor.
Bishop & McDaid (2007)
Spreadsheets contain errors at an alarmingly high rate.
Abraham, et al (2005)
Spreadsheet errors are still the rule rather than the exception.
Nixon & O'Hara (2010)
Research on spreadsheet errors is substantial, compelling, and unanimous.
Panko (2015)
Spreadsheets are alarmingly error-prone to write.
Paine (2001)
Spreadsheets are easy to use and very hard to check.
Chen & Chan (2000)
Spreadsheets are extraordinarily and unacceptably prone to error.
Dunn (2010)
Never assume a spreadsheet is right, even your own.
Raffensperger (2001)
Spreadsheet development must embrace extensive testing in order to be taken seriously as a profession.
Bock (2016)
Spreadsheets... pose a greater threat to your business than almost anything you can imagine.
Howard (2005)
1% of all formulas in operational spreadsheets are in error.
Powell, Baker, & Lawson (2009)
Every study that has looked for errors has found them... in considerable abundance.
Panko & Halverson (1996)
It is irrational to expect large error-free spreadsheets.
Panko (2013)
Errors in spreadsheets are as ubiquitous as spreadsheets themselves.
Colbenz (2005)
Spreadsheets are more fault-prone than other software.
Kulesz & Ostberg (2013)
It is now widely accepted that errors in spreadsheets are both common and potentially dangerous.
Nixon & O'Hara (2010)
Untested spreadsheets are riddled with errors.
Miller (2005)
Spreadsheets are notoriously error-prone.
Cunha, et al (2011)
Your spreadsheets may be disasters in the making.
Caulkins, Morrison, & Weidemann (2006)
Programmers exhibit unwarranted confidence in the correctness of their spreadsheets.
Krishna, et al (2001)
The results given by spreadsheets are often just wrong.
Sajaniemi (1998)
Most large spreadsheets have dozens or even hundreds of errors.
Panko & Ordway (2005)
People tend to believe their spreadsheets are more accurate than they really are.
Caulkins, Morrison, & Weidemann (2006)
...few incidents of spreadsheet errors are made public and these are usually not revealed by choice.
Kruck & Sheetz (2001)
Studies have shown that there is a high incidence of errors in spreadsheets.
Csernoch & Biro (2013)
60% of large companies feel 'Spreadsheet Hell' describes their reliance on spreadsheets.
Murphy (2007)
Spreadsheets are often hard, if not impossible, to understand.
Mireault & Gresham (2015)
A lot of decisions are being made on the basis of some bad numbers.
Ross (1996)
Developing an error-free spreadsheet has been a problem since the beginning of end-user computing.
Mireault (2015)
Spreadsheets are dangerous to their authors and others.
Durusau & Hunting (2015)
Spreadsheets are commonly used and commonly flawed.
Caulkins, Morrison, & Weidemann (2008)
Most executives do not really check or verify the accuracy or validity of [their] spreadsheets...
Teo & Tan (1999)
Every study, without exception, has found error rates much higher than organizations would wish to tolerate.
Panko (1999)
Spreadsheets can be viewed as a highly flexible programming environment for end users.
Abreu, et al (2015)
Spreadsheet errors are pervasive, stubborn, ubiquitous and complex.
Irons (2003)
Errors in spreadsheets... result in incorrect decisions being made and significant losses incurred.
Beaman, et al (2005)
The untested spreadsheet is as dangerous and untrustworthy as an untested program.
Price (2006)
Despite being staggeringly error prone, spreadsheets are a highly flexible programming environment.
Abreu, et al (2015)
Overconfidence is one of the most substantial causes of spreadsheet errors.
Sakal, et al (2015)
Spreadsheets are the most popular live programming environments, but they are also notoriously fault-prone.
Hermans & van der Storm (2015)
A significant proportion of spreadsheets have severe quality problems.
Ayalew (2007)
94% of the 88 spreadsheets audited in 7 studies have contained errors.
Panko (2008)
Spreadsheets have a notoriously high number of faults.
Rust, et al (2006)
The software that end users are creating... is riddled with errors.
Burnett & Myers (2014)
Spreadsheet errors have resulted in huge financial losses.
Abraham & Erwig (2007)
The issue is not whether there is an error but how many errors there are and how serious they are.
Panko (2007)

Spreadsheet bibliography

Title An alternative modelling technique for the reduction of error in decision support spreadsheets
Authors Simon Thorne
Year 2008
Type Ph.D thesis
Publication Cardiff Metropolitan University
Series Pages 1-318
Abstract

Spreadsheet applications are currently the most prevalent end user tool in organisations across the world. Surveys on spreadsheet use show spreadsheets are used as decision making tools in a range of organisations from credit liability assessment in the business world to patient cardiovascular-anaesthesia risk in the medical community.

However, there is strong evidence to suggest a significant proportion of spreadsheets contain errors that affect the validity of their operation and results. In addition most end users receive no relevant information systems training and consequently have no concept of creating reliable software. This can result in poorly designed untested spreadsheets that are potentially full of errors.

This thesis presents an alternative novel modelling technique to decision support spreadsheets. The novel technique uses attribute classifications (user defined examples) to create a model of a problem. This technique is coined "Example Driven Modelling" (EDM).

Through experimentation, the relative benefits and useful limits of EDM are explored and established. The practical application of EDM to real world spreadsheets demonstrates how EDM outperforms equivalent spreadsheet models in a medical decision making spreadsheet used to determine the anaesthesia risk of a patient undergoing cardiovascular surgery.

Full version Available
Sample
Proposed methods of interaction
Proposed methods of interaction

Spreadsheet errors are often due to a mismatch between man and machine. Human factors play a significant role in spreadsheet errors and have been largely ignored by the wider spreadsheet community.

In the proposed new paradigm, the human would pattern match and generate real world examples, the computer would use its ability of mathematical manipulation and logical deduction to build a model from the examples provided by the user.

Go to top