It's certainly the case that tasks can die, and require a system reboot. That's why you have watchdog timers in control system software. In the description of the problem, it appears that several tasks died simultaneoiusly, although we don't know which tasks nor how simultaneous they were.
And it's also not clear whether individual task were monitored correctly, and whether it was the simultaneous nature of the failures that created a case where the reboots didn't occur.
Also, it looks like they found several potential mechanisms, not necessarily THE cause. One way to design around this sort of problem, although nothing will be 100 percent, is to have redundant processes do the same computations, and then compare the control signal at the output. If there's no match, you default to no acceleration.
The last safety measure is of course the driver. If unintended acceleration occurs, certaily in a 2005 car, put the car in neutral and shut off the engine!
Although the quote about the danger of a "single bit flip" seems to have been in the context of software bugs -- it's hard to tell just from the quotes in this interview -- Barr also mentions single event upset. Memory bit errors (so-called "soft error rate") are a more of a hardware & system design issue, at least to the extent that the design includes mirroring, error detection and/or correction or other fail-safe measures.
At modern VLSI geometries, the soft error rate of an SRAM bit cell being bombarded with cosmic radiation at ground level is not as inconsequential as one might think -- especially for critical safety systems.
It makes one wonder how blame can be attributed to software in a system in which the source of the error may have been a random SRAM bit that was flipped by an alpha particle or other natural radiation event. Is the failure being blamed on software, or is it an overall laxity of hardware plus software that failed to prevent all of those 16 million possible ways a software task can die? How much fail-safing & hardware redundancy is enough to adequately protect against these events? In the end, it is a probabalitic issue, and the probability of failure will never be zero.
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.