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

Spreadsheet bibliography

Title Future of end-user software engineering: Beyond the silos
Authors Margaret Burnett & Brad Myers
Year 2014
Type Proceedings
Publication International Conference on Software Engineering
Series June
Abstract

End-user software engineering (EUSE) is a research area that aims to invent new kinds of technologies that collaborate with end users to improve the quality of their software.

The practice that EUSE research aims to support is end users using new tools and methods to improve the quality of the software that they and other end users have created. There is a need for this outcome because research shows both that the number of end users creating their own software greatly exceeds the number of professional software developers, and that the software they create is riddled with errors.

In this paper, we describe the present state of EUSE, and challenges in moving forward toward a bright future. We show how the future of EUSE may become over-siloed, restricting future researchers' vision of what can be achieved. We then show that focusing on the in-the-moment intents of end-user developers can be used to derive a number of promising directions forward for EUSE researchers, and how theories can help us further desilo future EUSE research.

Finally, we discuss how overcoming challenges for the future of end-user software engineering may also bring direct benefits to the future of "classic" software engineering.

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Sample
Usage of programming-like features
Usage of programming-like features
Programming-like features, in a variety of common software applications, used by at least 33% of the information workers.
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