The C Programming Language

Ritchie, Dennis M.; Johnson, S. C.; Lesk, Michael; Kernighan, Brian W.

doi:10.1007/978-3-662-09507-2_22

Cited by 49 publications

(49 citation statements)

References 2 publications

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“…Indeed. If it was widely discussed in 1978 [27], why is it still haunting us over 30 years later? Why are new languages designed continuing the heedlessness, even though the designers know they are doing it?…”

Section: Heedless General Purpose Languagesmentioning

confidence: 99%

Heedless programming: ignoring detectable error is a widespread hazard

Thimbleby

2012

Softw Pract Exp

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SUMMARYSoftware should be correct and robust. This paper suggests that we need forthright words for the failure of not being robust -heedless and heedlessness -and of recursively creating software (such as a compiler or virtual machine) that itself does not support dependable software development. Heedless programming is common, particularly affecting "trivial" operations such as on numbers, and extends deep into programming language design and into the use of computers more widely, thus making robust, dependable applications of all sorts unnecessarily problematic. The paper defines the problem and presents a call to action to start addressing the problems identified.-"Study failure examples even more carefully than you study successes."Frederick P. Brooks, Jr.[7]

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Section: Heedless General Purpose Languagesmentioning

confidence: 99%

Heedless programming: ignoring detectable error is a widespread hazard

Thimbleby

2012

Softw Pract Exp

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“…The presented algorithms were developed using Python [43], C [38] and Javascript [16] programming languages, with the help of Eclipse and Aptana as an integrated development environment. The Python packages used were the numpy [34], scipy [33], matplotlib [19], h5py [17], weave [39] and parallel python [45].…”

Section: Appendix a Publicationsmentioning

confidence: 99%

Long Term Biosignals Visualization and Processing

Gomes

Nunes

Sousa³

et al. 2012

Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing

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“…These are tools that provide either compile-or run-time checking beyond that offered by the programming language. These include systems and libraries for detecting problems in the use of heap memory, such as Purify [Hastings and Joyce 1992], and systems as lint [Ritchie et al 1978] that go beyond compiler checks to find legal constructs that might be potential problems.…”

Section: Software Toolsmentioning

confidence: 99%

Software tools and environments

Reiss

1996

ACM Comput. Surv.

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The C Programming Language

Cited by 49 publications

References 2 publications

Heedless programming: ignoring detectable error is a widespread hazard

Heedless programming: ignoring detectable error is a widespread hazard

Long Term Biosignals Visualization and Processing

Software tools and environments

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