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Rule of least power

Rule of least power is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Rule of least power rather than just read about it. In short: In programming, the rule of least power is a design principle that "suggests choosing the least powerful [computer] language suitable for a given purpose". Stated alternatively, given a choice among computer languages, classes of which range from descriptive (or declarative) to procedural, the less procedural, more descriptive the language one chooses, the more one can do with the data stored in that language.

Key takeaways

  • Rule of least power belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Rule of least power to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Rule of least power from memory before moving on to harder problems.

Reference excerpt

In programming, the rule of least power is a design principle that "suggests choosing the least powerful [computer] language suitable for a given purpose". Stated alternatively, given a choice among computer languages, classes of which range from descriptive (or declarative) to procedural, the less procedural, more descriptive the language one chooses, the more one can do with the data stored in that language. This rule is an application of the principle of least privilege to protocol design. The Rule of Least Power is an example in context of the centuries older principle known as Occam's razor in philosophy. In particular, arguments for and against the Rule of Least Power are subject to the same analysis as for Occam's razor.

Rationale Originally proposed as an axiom of good design, the term is an extension of the KISS principle applied to choosing among a range of languages ranging from

the plainly descriptive ones (such as the content of most databases, or progressive enhancement on the web), logical languages of limited propositional logic (such as access control lists), declarative languages on the verge of being Turing-complete, those that are in fact Turing-complete though one is led not to use them that way (XSLT, SQL), those that are functional and Turing-complete general-purpose programming languages, to those that are "unashamedly imperative". As explained by Tim Berners-Lee:

See also Worse is better

References

Worked examples

Example 1 — a first encounter with Rule of least power

Start with the simplest possible case. Write down what Rule of least power claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Rule of least power before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Rule of least power ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Rule of least power

In research
Rule of least power appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Rule of least power in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Rule of least power is common in secondary-school and first-year university syllabi. It links to neighbouring topics Programming language folklore, Software design, Software development philosophies, so understanding it makes those chapters shorter.
In everyday life
Look for Rule of least power outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Rule of least power in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Rule of least power means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Rule of least power out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Rule of least power in simple terms?

In programming, the rule of least power is a design principle that "suggests choosing the least powerful [computer] language suitable for a given purpose". Stated alternatively, given a choice among computer languages, classes of which range from descriptive (or declarative) to procedural, the less…

Why does Rule of least power matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Rule of least power?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Rule of least power.

Tags

  • Programming language folklore
  • Software design
  • Software development philosophies
  • Software engineering folklore

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