Prefer Domain-Specific Types to Primitive Types

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Some_Number:= Distance + Velocity; -- Will be caught by the compiler as a type error.
Some_Number:= Distance + Velocity; -- Will be caught by the compiler as a type error.
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Developers in less demanding domains might also benefit from applying definite typing, where they might otherwise continue to use the primitive data types offered by the language and its libraries, such as string and floats. In Java, C++, Python, and other modern languages the abstract data type is know as <code>class</code>. Using classes such as <code> VelocityInKnots</code> and <code>DistanceInNaticalMiles</code> adds a lot of value with respect to code quality:
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Developers in less demanding domains might also benefit from applying definite typing, where they might otherwise continue to use the primitive data types offered by the language and its libraries, such as string and floats. In Java, C++, Python, and other modern languages the abstract data type is know as <code>class</code>. Using classes such as <code> VelocityInKnots</code> and <code>DistanceInNauticalMiles</code> adds a lot of value with respect to code quality:
# The code becomes more readable as it expresses concepts of a domain, not just <code>Float</code> or <code>String</code>.
# The code becomes more readable as it expresses concepts of a domain, not just <code>Float</code> or <code>String</code>.

Revision as of 10:30, 28 November 2008

On 23rd September 1999 the $327.6 million Mars Climate Orbiter was lost while entering orbit due to a software error back on Earth. The error was later called the metric mix-up. The ground station software was working in pounds while the spacecraft expected newtons, leading the ground station to underestimate the power of the spacecraft's thrusters by a factor of 4.45.

This is one of many examples of software failures that could have been prevented if stronger and more definite typing had been applied. It is also an example of the rationale behind many features in the Ada language, one of whose primary design goals was to implement embedded safety-critical software. Ada supports strong typing with static checking:

subtype Velocity_In_Knots is Float range 0..500.00;

subtype Distance_In_Nautical_Miles is Float range 0..3000.00;

Velocity: Velocity_In_Knots;

Distance: Distance_In_Nautical_Miles;

Some_Number: Float;

Some_Number:= Distance + Velocity; -- Will be caught by the compiler as a type error.

Developers in less demanding domains might also benefit from applying definite typing, where they might otherwise continue to use the primitive data types offered by the language and its libraries, such as string and floats. In Java, C++, Python, and other modern languages the abstract data type is know as class. Using classes such as VelocityInKnots and DistanceInNauticalMiles adds a lot of value with respect to code quality:

  1. The code becomes more readable as it expresses concepts of a domain, not just Float or String.
  2. The code becomes more testable as the code encapsulates behavior that is easily testable.
  3. The code facilitates reuse across applications and systems.

The approach is equally valid for users of both statically and dynamically typed languages. The only difference is that developers using statically typed languages get some help from the compiler while those embracing dynamically typed languages are more likely to rely on their unit tests. The style of checking may be different, but the motivation and style of expression is not.

The moral is to start exploring definite typing for the purpose of developing quality software.

By Einar Landre

This work is licensed under a Creative Commons Attribution 3


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