The Python programming language is typical among
dynamic languages in that programs written in it are
not susceptible to static analysis. This makes efficient
static program compilation difficult, as well as
limiting the amount of early error detection that can
be performed. Prior research in this area tends to
make assumptions about the nature of programs written
in Python, restricting the expressiveness of the
language. One may question why programmers are
drawn to these languages at all, if only to use them
in a static-friendly style. In this paper we present our
results after measuring the dynamic behaviour of 24
production-stage open source Python programs. The
programs tested included arcade games, GUI applications
and non-interactive batch programs. We found
that while most dynamic activity occurs during program
startup, dynamic activity after startup cannot
be discounted entirely. |
| Cite as: Holkner, A. and Harland, J. (2009). Evaluating the dynamic behaviour of Python applications. In Proc. Thirty-Second Australasian Computer Science Conference (ACSC 2009), Wellington, New Zealand. CRPIT, 91. Mans, B., Ed. ACS. 17-25. |
 (from crpit.com)
(local if available)
|