Do avionics in general subscribe to MISRA C/C++ or do they go even further with an additional (or different) approach?
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Honestly I think that's probably the correct way to write high reliability code.
It is impossible for a simulink model to accidentally type `i > 0` when they meant `i >= 0`, for example. Any human who tells you they have not made this mistake is a liar.
Unless there was a second uncommanded acceleration problem with Toyotas, my understanding is that it was caused by poor mechanical design of the accelerator pedal that caused it to get stuck on floor mats.
In any case, when we're talking about safety critical control systems like avionics, it's better to abstract away the actual act of typing code into an editor, because it eliminates a potential source of errors. You verify the model at a higher level, and the code is produced in a deterministic manner.
That's a classic bias: Comparing A and B, show that B doesn't have some A flaws. If they are different systems, of course that's true. But it's also true that A doesn't have some B flaws. That is, what flaws does Autocode have that humans don't?
The fantasy that machines are infallible - another (implicit) argument in this thread - is just ignorance for any professional in technology.
The main flaw of autocode is that a human can't easily read and validate it, so you can't really use it as source code. In my experience, this is one of the biggest flaws of these types of systems. You have to version control the file for whatever proprietary graphical programming software generated the code in the first place, and as much as we like to complain about git, it looks like a miracle by comparison.
It's an interesting question and point, but those are two different things and there is no reason to think you'll get the same results. Why not compile from natural language, if that theory is true?
I admit that's mostly philosphical. But I think saying 'C can autogenerate reliable assembly, therefore a specification can autogenerate reliable C' is also about two different problems.