> It is worth noting that the class of bugs described here (logic errors in highly concurrent state machines, incorrect hardware assumptions)
While the bugs you describe are indeed things that aren't directly addressed by Rust's borrow checker, I think the article covers more ground than your comment implies.
For example, a significant portion (most?) of the article is simply analyzing the gathered data, like grouping bugs by subsystem:
Subsystem Bug Count Avg Lifetime
drivers/can 446 4.2 years
networking/sctp 279 4.0 years
networking/ipv4 1,661 3.6 years
usb 2,505 3.5 years
tty 1,033 3.5 years
netfilter 1,181 2.9 years
networking 6,079 2.9 years
memory 2,459 1.8 years
gpu 5,212 1.4 years
bpf 959 1.1 years
Or by type: Bug Type Count Avg Lifetime Median
race-condition 1,188 5.1 years 2.6 years
integer-overflow 298 3.9 years 2.2 years
use-after-free 2,963 3.2 years 1.4 years
memory-leak 2,846 3.1 years 1.4 years
buffer-overflow 399 3.1 years 1.5 years
refcount 2,209 2.8 years 1.3 years
null-deref 4,931 2.2 years 0.7 years
deadlock 1,683 2.2 years 0.8 years
And the section describing common patterns for long-lived bugs (10+ years) lists the following:> 1. Reference counting errors
> 2. Missing NULL checks after dereference
> 3. Integer overflow in size calculations
> 4. Race conditions in state machines
All of which cover more ground than listed in your comment.
Furthermore, the 19-year-old bug case study is a refcounting error not related to highly concurrent state machines or hardware assumptions.
Why doesn't it surprise me that the CAN bus driver bugs have the longest average lifetime?
> Furthermore, the 19-year-old bug case study is a refcounting error
It always surprised me how the top-of-the line analyzers, whether commercial or OSS, never really implemented C-style reference count checking. Maybe someone out there has written something that works well, but I haven’t seen it.
It depends what they mean by some of these: are the state machine race conditions logic races (which Rust won’t trivially solve) or data races? If they are data races, are they the kind of ones that Rust will catch (missing atomics/synchronization) or the ones it won’t (bad atomic orderings, etc.).
It’s also worth noting that Rust doesn’t prevent integer overflow, and it doesn’t panic on it by default in release builds. Instead, the safety model assumes you’ll catch the overflowed number when you use it to index something (a constant source of bugs in unsafe code).
I’m bullish about Rust in the kernel, but it will not solve all of the kinds of race conditions you see in that kind of context.