computer science

Reuse metrics

Reuse metrics 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 Reuse metrics rather than just read about it. In short: In software engineering, many reuse metrics and models are metrics used to measure code reuse and reusability. A metric is a quantitative indicator of an attribute of a thing.

Key takeaways

Reuse metrics 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 Reuse metrics to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Reuse metrics from memory before moving on to harder problems.

Reference excerpt

In software engineering, many reuse metrics and models are metrics used to measure code reuse and reusability. A metric is a quantitative indicator of an attribute of a thing. A model specifies relationships among metrics. Reuse models and metrics can be categorized into six types:

reuse cost-benefits models maturity assessment amount of reuse failure modes reusability reuse library metrics Reuse cost-benefits models include economic cost-benefit analysis as well as quality and productivity payoff. Maturity assessment models categorize reuse programs by how advanced they are in implementing systematic reuse. Amount of reuse metrics are used to assess and monitor a reuse improvement effort by tracking percentages of reuse for life cycle objects. Failure modes analysis is used to identify and order the impediments to reuse in a given organization. Reusability metrics indicate the likelihood that an artifact is reusable. Reuse library metrics are used to manage and track usage of a reuse repository.

References Frakes, William and Carol, Terry. "Software Reuse: Metrics and Models." ACM Computing Surveys 28(2), pp. 415-435, 1996.

Worked examples

Example 1 — a first encounter with Reuse metrics

Start with the simplest possible case. Write down what Reuse metrics 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 Reuse metrics 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 Reuse metrics 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 Reuse metrics

In research: Reuse metrics 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 Reuse metrics 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: Reuse metrics is common in secondary-school and first-year university syllabi. It links to neighbouring topics Reuse, Software engineering stubs, Software metrics, so understanding it makes those chapters shorter.
In everyday life: Look for Reuse metrics 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 Reuse metrics in 20 minutes

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

Frequently asked questions

What is Reuse metrics in simple terms?

In software engineering, many reuse metrics and models are metrics used to measure code reuse and reusability. A metric is a quantitative indicator of an attribute of a thing.

Why does Reuse metrics 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 Reuse metrics?

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 Reuse metrics.