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CROSSWORD
ANSWER

correctness

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The answer CORRECTNESS has 4 possible clue(s) in existing crosswords.

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The word CORRECTNESS is VALID in some board games. Check CORRECTNESS in word games in Scrabble, Words With Friends, see scores, anagrams etc.

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Definitions of correctness in various dictionaries:

noun - conformity to fact or truth

noun - the quality of conformity to social expectations

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Possible Crossword Clues
Freedom from error
Conformity shown by centre and cross perhaps
Lack of mistakes
If political, it's usually right for the left

Last Seen in these Crosswords & Puzzles
Dec 17 2015 The Sun - Two Speed
Dec 17 2015 The Sun - Two Speed
Jul 14 2011 The Telegraph - Toughie
Feb 26 2011 The Times - Concise

Possible Dictionary Clues
Full bDefinitionb of POLITICALLY CORRECT. : conforming to a belief that language and practices which could offend political sensibilities (as in matters of sex or race) should be eliminated. political bcorrectnessb noun.
The quality or state of being free from error accuracy.
conformity to fact or truth
conformity to social expectations
freedom from error
conformity to the truth or to fact
conformity to recognized standards
The state of an algorithm that correctly mirrors its specification.

Correctness might be related to
In theoretical computer science, correctness of an algorithm is asserted when it is said that the algorithm is correct with respect to a specification. Functional correctness refers to the input-output behaviour of the algorithm (i.e., for each input it produces the expected output).A distinction is made between partial correctness, which requires that if an answer is returned it will be correct, and total correctness, which additionally requires that the algorithm terminates. Since there is no general solution to the halting problem, a total correctness assertion may lie much deeper. A termination proof is a type of mathematical proof that plays a critical role in formal verification because total correctness of an algorithm depends on termination.For example, successively searching through integers 1, 2, 3, … to see if we can find an example of some phenomenon—say an odd perfect number—it is quite easy to write a partially correct program (using long division by two to check n as perfect or not). But to say this program is totally correct would be to assert something currently not known in number theory. * A proof would have to be a mathematical proof, assuming both the algorithm and specification are given formally. In particular it is not expected to be a correctness assertion for a given program implementing the algorithm on a given machine. That would involve such considerations as limitations on computer memory. * A deep result in proof theory, the Curry-Howard correspondence, states that a proof of functional correctness in constructive logic corresponds to a certain program in the lambda calculus. Converting a proof in this way is called program extraction. * Hoare logic is a specific formal system for reasoning rigorously about the correctness of computer programs. It uses axiomatic techniques to define programming language semantics and argue about the correctness of programs through assertions known as Hoare triples. * Software testing is any activity aimed at evaluating an attribute or capability of a program or system and determining that it meets its required results. Although crucial to software quality and widely deployed by programmers and testers, software testing still remains an art, due to limited understanding of the principles of software. The difficulty in software testing stems from the complexity of software: we can not completely test a program with moderate complexity. Testing is more than just debugging. The purpose of testing can be quality assurance, verification and validation, or reliability estimation. Testing can be used as a generic metric as well. Correctness testing and reliability testing are two major areas of testing. Software testing is a trade-off between budget, time and quality.

Correctness might be related to

In theoretical computer science, correctness of an algorithm is asserted when it is said that the algorithm is correct with respect to a specification. Functional correctness refers to the input-output behaviour of the algorithm (i.e., for each input it produces the expected output).A distinction is made between partial correctness, which requires that if an answer is returned it will be correct, and total correctness, which additionally requires that the algorithm terminates. Since there is no general solution to the halting problem, a total correctness assertion may lie much deeper. A termination proof is a type of mathematical proof that plays a critical role in formal verification because total correctness of an algorithm depends on termination.For example, successively searching through integers 1, 2, 3, … to see if we can find an example of some phenomenon—say an odd perfect number—it is quite easy to write a partially correct program (using long division by two to check n as perfect or not). But to say this program is totally correct would be to assert something currently not known in number theory.
* A proof would have to be a mathematical proof, assuming both the algorithm and specification are given formally. In particular it is not expected to be a correctness assertion for a given program implementing the algorithm on a given machine. That would involve such considerations as limitations on computer memory.
* A deep result in proof theory, the Curry-Howard correspondence, states that a proof of functional correctness in constructive logic corresponds to a certain program in the lambda calculus. Converting a proof in this way is called program extraction.
* Hoare logic is a specific formal system for reasoning rigorously about the correctness of computer programs. It uses axiomatic techniques to define programming language semantics and argue about the correctness of programs through assertions known as Hoare triples.
* Software testing is any activity aimed at evaluating an attribute or capability of a program or system and determining that it meets its required results. Although crucial to software quality and widely deployed by programmers and testers, software testing still remains an art, due to limited understanding of the principles of software. The difficulty in software testing stems from the complexity of software: we can not completely test a program with moderate complexity. Testing is more than just debugging. The purpose of testing can be quality assurance, verification and validation, or reliability estimation. Testing can be used as a generic metric as well. Correctness testing and reliability testing are two major areas of testing. Software testing is a trade-off between budget, time and quality.

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