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Learnability



 
 
a class="link1" onMouseover='showByLink("m1950627",this)' onMouseout='hide("m1950627")'href="http://www.absoluteastronomy.com/topics/Software_testing">software testing
Software testing

Software Testing is an empirical investigation conducted to provide stakeholders with information about the quality of the product or service under test , with respect to the context in which it is intended to operate....
 learnability, according to ISO 9126
ISO 9126

ISO 9126 is an international standard for the evaluation of software quality. The fundamental objective of this standard is to address some of the well known human biases that can adversely effect the delivery and perception of a software development project....
, is the capability of a software product to enable the user to learn how to use it. Learnability may be considered as an aspect of usability
Usability

Usability is a term used to denote the ease with which people can employ a particular tool or other human-made object in order to achieve a particular goal....
, and is of major concern in the design of complex software applications.

Learnability is defined in the Standard glossary of terms used in software testing published by the International Software Testing Qualifications Board.

a class="link1" onMouseover='showByLink("m1950631",this)' onMouseout='hide("m1950631")'href="http://www.absoluteastronomy.com/topics/Computational_learning_theory">computational learning theory
Computational learning theory

In theoretical computer science, computational learning theory is a mathematical field related to the analysis of machine learning algorithms....
, learnability is the mathematical analysis of machine learning
Machine learning

Machine learning is the subfield of artificial intelligence that is concerned with the design and development of algorithms that allow computers to improve their performance over time based on data, such as from sensor data or databases....
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Software testing

In software testing
Software testing

Software Testing is an empirical investigation conducted to provide stakeholders with information about the quality of the product or service under test , with respect to the context in which it is intended to operate....
 learnability, according to ISO 9126
ISO 9126

ISO 9126 is an international standard for the evaluation of software quality. The fundamental objective of this standard is to address some of the well known human biases that can adversely effect the delivery and perception of a software development project....
, is the capability of a software product to enable the user to learn how to use it. Learnability may be considered as an aspect of usability
Usability

Usability is a term used to denote the ease with which people can employ a particular tool or other human-made object in order to achieve a particular goal....
, and is of major concern in the design of complex software applications.

Learnability is defined in the Standard glossary of terms used in software testing published by the International Software Testing Qualifications Board.

Computational learning theory

In computational learning theory
Computational learning theory

In theoretical computer science, computational learning theory is a mathematical field related to the analysis of machine learning algorithms....
, learnability is the mathematical analysis of machine learning
Machine learning

Machine learning is the subfield of artificial intelligence that is concerned with the design and development of algorithms that allow computers to improve their performance over time based on data, such as from sensor data or databases....
. It is also employed in language acquisition
Language acquisition

Language acquisition is the study of the processes through which learners acquire language. By itself, language acquisition refers to first language acquisition, which studies infants' acquisition of their native language, whereas second language acquisition deals with acquisition of additional languages in both children and adults....
 in arguments within linguistics.

Frameworks include:
  • Language identification in the limit
    Language identification in the limit

    Language identification in the limit is a formal model for inductive inference. It was introduced by E. Mark Gold in his paper with the same title ....
     proposed in 1967 by E. Mark Gold. Subsequently known as Algorithmic learning theory
    Algorithmic learning theory

    Algorithmic learning theory is a framework for machine learning.The framework was introduced in E. Mark Gold's seminal paper "Language identification in the limit"....
    .
  • Probably approximately correct learning
    Probably approximately correct learning

    In computational learning theory, probably approximately correct learning is a framework for mathematical analysis of machine learning. It was proposed in 1984 by Leslie Valiant....
     (PAC learning) proposed in 1984 by Leslie Valiant
    Leslie Valiant

    File:Leslie Valiant.jpgLeslie Gabriel Valiant is a Great Britain computer scientist and computational theorist.He was educated at King's College, Cambridge, Imperial College London, and University of Warwick where he received his Ph.D....