The lines of code metric as a predictor of program faults: a critical analysis

@inproceedings{Khoshgoftaar1990TheLO,
  title={The lines of code metric as a predictor of program faults: a critical analysis},
  author={Taghi M. Khoshgoftaar and John C. Munson},
  booktitle={COMPSAC},
  year={1990}
}
The relationship between measures of software complexity and programming errors is explored. Four distinct regression models were developed for an experimental set of data to create a predictive model from software complexity metrics to program errors. The Lines of Code metric, traditionally associated with programming errors in predictive models, was found to be less valuable as a criterion measure in these models than measures of software control complexity. A factor analytic technique used… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-6 of 6 references

Classical and Modern Regression with Applications

R. H. Myers
1986

Estimating the Number of Faults in Code

IEEE Transactions on Software Engineering • 1984

Bolsky, "Types, distribution, and test and correction times for programming errors,

M.I.M.L. Shooman
Int. Conf, Rel. Software, • 1975

An Analysis of Static Metrics and Faults in C Software

A. A. McIntosh, D. Pregibon
The Journal of Systems and Software

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