Software testing
Investigation conducted to provide information about the quality of a software product or service under test and enable the business to understand the risks of software implementation
Concept
Software testing is the act of checking whether software meets its intended objectives and satisfies expectations. Software testing can provide objective, independent information about the quality of software and the risk of its failure to a user or sponsor or any other stakeholder. Software testing can determine the correctness of software for specific scenarios but cannot determine correctness for all scenarios. It cannot find all bugs. Based on the criteria for measuring correctness from an oracle, software testing employs principles and mechanisms that might recognize a problem. Examples of oracles include specifications, contracts, comparable products, past versions of the same product, inferences about intended or expected purpose, user or customer expectations, relevant standards, and applicable laws. Software testing can be functional or non-functional in nature. Software testing is often dynamic in nature: running the software to verify actual output matches expected. It can also be static in nature: reviewing code and its associated documentation. Software testing is often used to answer the question: Does the software do what it is supposed to do and what it needs to do? Information learned from software testing may be used to improve the process by which software is developed. A commonly suggested approach to automated testing is the "test pyramid," wherein most of the tests are unit tests, followed by a smaller set of integration tests and finally a few end-to-end (e2e) tests.
CardsKnowledge
Software testing
Investigation conducted to provide information about the quality of a software product or service under test and enable the business to understand the risks of software implementation
Software testing is the act of checking whether software meets its intended objectives and satisfies expectations. Software testing can provide objective, independent information about the quality of software and the risk of its failure to a user or sponsor or any other stakeholder. Software testing can determine the correctness of software for specific scenarios but cannot determine correctness for all scenarios. It cannot find all bugs. Based on the criteria for measuring correctness from an oracle, software testing employs principles and mechanisms that might recognize a problem. Examples of oracles include specifications, contracts, comparable products, past versions of the same product, inferences about intended or expected purpose, user or customer expectations, relevant standards, and applicable laws. Software testing can be functional or non-functional in nature. Software testing is often dynamic in nature: running the software to verify actual output matches expected. It can also be static in nature: reviewing code and its associated documentation. Software testing is often used to answer the question: Does the software do what it is supposed to do and what it needs to do? Information learned from software testing may be used to improve the process by which software is developed. A commonly suggested approach to automated testing is the "test pyramid," wherein most of the tests are unit tests, followed by a smaller set of integration tests and finally a few end-to-end (e2e) tests.
Read the article on Wikipedia ↗How these stats are calculated
Every value is derived from a measurement of the article, with no manual input. The measurements below were taken on September 6, 2026.
Concept — Alters a rule of the game for as long as it stays in play.
Reach
Article length
99 / 120
Rigour
Reference density and count
52 / 120
Anchorage
Age and revision count
373 / 400
Currency
Recent edit activity and view trend
18 / 30
Diffusion
Language editions and incoming links
71 / 100
Article size
85 kB
Sources cited
123
Sections
69
Revisions
7,141
Revisions in 90 days
22
Incoming links
1,916
Language editions
50
Views over 12 months
159,131
Created on
December 5, 2001
Wikidata statements
45
Rare — 96.8th percentile of notability
Rarity ranks cards by how famous their subject is: readership, number of languages and incoming links. This tier appears in 10.00% of cards pulled from packs. It says nothing about the card’s power, which is 705 out of 1000 here.
Effect
This card does not fight on its own: it carries a single effect, chosen by its dominant measure.
Knowledge — type matchups
Strong against
Weak against
The source article
This card maps to the Wikidata item Q188522, present in 50 Wikipedia editions.
Illustration : file on Wikimedia Commons — Radosław Smilgin — licence CC BY-SA 3.0. Article text licensed under CC BY-SA 4.0.
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