An Empirical Comparison of Seven Programming Languages

By Lutz Prechelt. Computer, 2000

404 citations recorded by the source corpus.

How researchers see this paper

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F2PY: a tool for connecting Fortran and Python programs (2009, background): “six years to complete (assuming that the productivity is about 25 lines of code per hour (Prechelt, 2000)).”
Pyomo: modeling and solving mathematical programs in Python (2011, background): “Recent empirical comparisons suggest that scripting languages offer reasonable alternatives to languages like C and C++, even for tasks that must handle fair amounts of computation and data [38].”
A Comparison of C, MATLAB, and Python as Teaching Languages in Engineering (2004, background): “It is worth mentioning that programs written in scripting languages are usually significantly shorter [3] than equivalent programs written in compiled languages and also take significantly less time to code and debug.”
An empirical study of the influence of static type systems on the usability of undocumented software (2012, methodology): “Another study, which did not directly focus on static type systems compared seven different programming languages [20].”