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ODE is an open source, high performance library for simulating rigid body dynamics. It is fully featured, stable, mature and platform independent with an easy to use C/C++ API. It has advanced joint types and integrated collision detection with friction. ODE is useful for simulating vehicles, objects in virtual reality environments and virtual creatures. It is currently used in many computer games, 3D authoring tools and simulation tools.
Pseudo random number generators. C++ and binary code libraries for generating floating point and integer random numbers with uniform and non-uniform distributions. Fast, accurate and reliable.
I'm a frequent critic of memory unsafe languages, principally C and C++, and how they induce an exceptional number of security vulnerabilities. My conclusion, based on reviewing evidence from numerous large software projects using C and C++, is that we need to be migrating our industry to memory safe by default languages (such as Rust and Swift). One of the responses I frequently receive is that the problem isn't C and C++ themselves, developers are simply holding them wrong. In particular, I often receive defenses of C++ of the form, "C++ is safe if you don't use any of the functionality inherited from C"1 or similarly that if you use modern C++ types and idioms you will be immune from the memory corruption vulnerabilities that plague other projects. I would like to credit C++'s smart pointer types, because they do significantly help. Unfortunately, my experience working on large C++ projects which use modern idioms is that these are not nearly sufficient to stop the flood of vulnerabilities. My goal for the remainder of this post is to highlight a number of completely modern C++ idioms which produce vulnerabilities.
As of this writing (but perhaps not for very much longer!) the four mainstream compilers on Godbolt Compiler Explorer give four different answers for this simple C++ program:
W. Lavrijsen, and A. Dutta. Proceedings of the 6th Workshop on Python for High-Performance and Scientific Computing
, page 27--35. Piscataway, NJ, USA, IEEE Press, (2016)
D. Wu, L. Chen, Y. Zhou, and B. Xu. 2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)
, page 1-10. (October 2015)