computer science

Robustness testing

Robustness testing 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 Robustness testing rather than just read about it. In short: Robustness testing is any quality assurance methodology focused on testing the robustness of software. Robustness testing has also been used to describe the process of verifying the robustness (i.e. correctness) of test cases in a test process.

Key takeaways

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

Reference excerpt

Robustness testing is any quality assurance methodology focused on testing the robustness of software. Robustness testing has also been used to describe the process of verifying the robustness (i.e. correctness) of test cases in a test process. ANSI and IEEE have defined robustness as the degree to which a system or component can function correctly in the presence of invalid inputs or stressful environmental conditions. The term "robustness testing" was first used by the Ballista project at Carnegie Mellon University. They performed testing of operating systems for dependability based on the data types of POSIX API, producing complete system crashes in some systems. The term was also used by OUSPG and VTT researchers taking part in the PROTOS project in the context of software security testing. Eventually the term fuzzing (which security people use for mostly non-intelligent and random robustness testing) extended to also cover model-based robustness testing.

Methods

Fault injection Fault injection is a testing method that can be used for checking the robustness of systems. During the process, testing engineers inject faults into systems and observe the system's resiliency. Test engineers can develop efficient methods which aid fault injection to find critical faults in the system.

See also Robustness (computer science) Fault injection

References

Worked examples

Example 1 — a first encounter with Robustness testing

Start with the simplest possible case. Write down what Robustness testing 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 Robustness testing 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 Robustness testing 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 Robustness testing

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

Read the reference excerpt below once, without taking notes.
Close the page and write down what Robustness testing 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 Robustness testing out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Robustness testing in simple terms?

Why does Robustness testing 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 Robustness testing?

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 Robustness testing.