Narrower primitive types can be cast to wider types without affecting the magnitude of numeric values. However, when the expressions are not strictfp (guideline FLP04-J. Use the strictfp modifier for floating point calculation consistency), conversions from float
to double
may lose information about the overall magnitude of the converted value. See JLS Section 5.1.2, "Widening Primitive Conversion" for more information.
Conversion from int
or long
to float
, or long
to double
can lead to loss of precision (loss of least significant bits). No runtime exception occurs despite this loss. Also, see guideline EXP05-J. Be aware of integer promotions in binary operators.
Noncompliant Code Example
In this noncompliant code example, a value of type int
is converted to the type float
. Because type float
has only 23 mantissa bits, the result of subtracting the original from this value is non-zero.
class WideSample { public static void main(String[] args) { int big = 1234567890; float approx = big; System.out.println(big - (int)approx); // This is expected to be zero but it prints -46 } }
Compliant Solution
Numbers of type float
have 23 mantissa bits, a sign bit, and an 8 bit exponent. The exponent allows type float
to represent a larger range than that of type int
. Nevertheless, integers whose representation requires more than 23 bits can only be represented approximately by a float
.
class WideSample { public static void main(String[] args) { int big = 1234567890; // The significand can store at most 23 bits if ((big > 0x007fffff) || (big < -0x800000)) { throw new ArithmeticException("Insufficient precision"); } float approx = big; System.out.println(big - (int)approx); // Prints zero when no precision is lost } }
Risk Assessment
Casting integer values to floating-point types whose mantissa has fewer bits than does the original integer value will lose precision. In the absence of strictfp, casts from type float
to type double
may also lose precision.
Guideline |
Severity |
Likelihood |
Remediation Cost |
Priority |
Level |
---|---|---|---|---|---|
INT03-J |
low |
unlikely |
medium |
P2 |
L3 |
Automated Detection
Automatic detection of casts that may lose precision is straightforward.
Related Vulnerabilities
Search for vulnerabilities resulting from the violation of this guideline on the CERT website.
Other Languages
This guideline appears in the C Secure Coding Standard as FLP36-C. Beware of precision loss when converting integral types to floating point.
This guideline appears in the C++ Secure Coding Standard as FLP36-CPP. Beware of precision loss when converting integral types to floating point.
Bibliography
[[JLS 2005]] Section 5.1.2, Widening Primitive Conversion
INT02-J. Remember that the remainder operator may return a negative result value 06. Integers (INT) INT04-J. Do not attempt to store signed values in the char integral type