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Archive for May, 2010

Specification with Ghost Functions

May 26, 2010 Comments off

In my previous post I showed that the C expression sublanguage extended with quantified expressions (forall and exists) is insufficient to allow some specifications to be expressed. I presented this function (annotated with an incomplete specification) to average an array of data:

int16_t average(const int16_t * array readings, size_t numReadings)
pre(readings.lwb == 0; readings.lim == numReadings)
pre(numReadings != 0)
post(result == ? /* sum of elements of readings */ /numReadings)
{
int sum = 0;
size_t i;
for (i = 0; i < numReadings; ++i)
keep(i <= numReadings)
keep(sum == ? /* sum of first i elements of readings */ )
decrease(numReadings - i)
{
sum += readings[i];
}
return (int16_t)(sum/numReadings);
}

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Expressing the Inexpressible

May 24, 2010 3 comments

When writing preconditions, postconditions and other specifications for C programs, sometimes we need to write expressions that can’t be expressed in plain C. That’s why formal verification systems based on annotated programming languages almost always augment the expression sublanguage with forall and exists expressions. In previous posts, I’ve introduced ArC’s implementations of these. For example, the following expression yields true if all elements of the array arr are between 0 and 100 inclusive:

forall ind in arr.indices :- arr[ind] >= 0 && arr[ind] <= 100

Here, ind is declared as a bound variable that ranges over the values in the expression that follows the keyword in, which in this case is all the indices into arr. Read more…

Verifying a binary search, part 2

May 6, 2010 2 comments

In my last entry I showed how to use a correct-by-construction approach to develop a binary search function. We got as far as specifying the function and the loop, but we left the loop body undefined. The function declaration looked like this: Read more…

Verifying a binary search

May 5, 2010 Comments off

In the last post, I covered some different levels of formal verification that you may be interested in, and showed how to add minimum annotation to the linearization example to allow ArC to prove predictable execution. The example provided a prototype for the binary search function it called, to which we added a minimal postcondition, so that it looked like this:

size_t bSearch(const LinEntry* array table, size_t nElems, uint16_t key)
 post(result <= nElems);

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