Precedence

Although AND takes precedence over OR in many languages, this is not a universal property of short-circuit evaluation. An example of the two operator taking the same precedence and being left-associative with each other is POSIX shell's command-list syntax.^{[2]: §2.9.3}

The following simple left-to-right evaluator enforces a precedence of AND over OR by a continue:

function short-circuit-eval (operators, values)
    let result := True
    for each (op, val) in (operators, values):
        if op = "AND" && result = False
            continue
        else if op = "OR" && result = True
            return result
        else
            result := val
    return result

Formalization

Short-circuit logic, with or without side-effects, have been formalized based on Hoare's conditional. A result is that non-short-circuiting operators can be defined out of short-circuit logic to have the same sequence of evaluation.^[3]

Avoiding undesired side effects of the second argument

Usual example, using a C-based language:

int denom = 0;
if (denom != 0 && num / denom)
{
    ... // ensures that calculating num/denom never results in divide-by-zero error   
}

Consider the following example:

int a = 0;
if (a != 0 && myfunc(b))
{
    do_something();
}

In this example, short-circuit evaluation guarantees that myfunc(b) is never called. This is because a != 0 evaluates to false. This feature permits two useful programming constructs.

1. If the first sub-expression checks whether an expensive computation is needed and the check evaluates to false, one can eliminate expensive computation in the second argument.
2. It permits a construct where the first expression guarantees a condition without which the second expression may cause a run-time error.

Both are illustrated in the following C snippet where minimal evaluation prevents both null pointer dereference and excess memory fetches:

bool is_first_char_valid_alpha_unsafe(const char *p)
{
    return isalpha(p[0]); // SEGFAULT highly possible with p == NULL
}

bool is_first_char_valid_alpha(const char *p)
{
    return p != NULL && isalpha(p[0]); // 1) no unneeded isalpha() execution with p == NULL, 2) no SEGFAULT risk
}

Idiomatic conditional construct

Since minimal evaluation is part of an operator's semantic definition and not an optional optimization, a number of coding idioms rely on it as a succinct conditional construct. Examples include:

Perl idioms:

some_condition or die;    # Abort execution if some_condition is false
some_condition and die;   # Abort execution if some_condition is true

POSIX shell idioms:^[12]

modprobe -q some_module && echo "some_module installed" || echo "some_module not installed"

This idiom presumes that echo cannot fail.

Untested second condition leads to unperformed side effect

Despite these benefits, minimal evaluation may cause problems for programmers who do not realize (or forget) it is happening. For example, in the code

if (expressionA && myfunc(b)) {
    do_something();
}

if myfunc(b) is supposed to perform some required operation regardless of whether do_something() is executed, such as allocating system resources, and expressionA evaluates as false, then myfunc(b) will not execute, which could cause problems. Some programming languages, such as Java, have two operators, one that employs minimal evaluation and one that does not, to avoid this problem.

Problems with unperformed side effect statements can be easily solved with proper programming style, i.e., not using side effects in boolean statements, as using values with side effects in evaluations tends to generally make the code opaque and error-prone.^[13]

Reduced efficiency due to constraining optimizations

Short-circuiting can lead to errors in branch prediction on modern central processing units (CPUs), and dramatically reduce performance. A notable example is highly optimized ray with axis aligned box intersection code in ray tracing. Some compilers can detect such cases and emit faster code, but programming language semantics may constrain such optimizations.

An example of a compiler unable to optimize for such a case is Java's Hotspot VM as of 2012.^[14]