Programming domain: Difference between revisions

The term programming domain is mostly used when referring to domain-specific programming languages. It refers to a set of programming languages or programming environments that were written specifically for a particular domain, where domain means a broad subject for end users such as accounting or finance, or a category of program usage such as artificial intelligence or email. Languages and systems within a single programming domain would have functions common to the domain and may omit functions that are irrelevant to a domain.^[1]

Some examples of programming domains are:

Expert systems, computer systems that emulate the decision-making ability of a human expert and are designed to solve complex problems by reasoning through bodies of knowledge.
Natural-language processing, handling interactions between computers and human (natural) languages such as speech recognition, natural-language understanding, and natural-language generation.
Computer vision, dealing with how computers can understand and automate tasks that the human visual system can do and extracting data from the real world.

Other programming domains would include:

References

^ "What Is a Programming Domain? (with picture)". wiseGEEK. Retrieved May 2, 2020.

Akour, Mohammed & Falah, Bouchaib. (2016). Application domain and programming language readability yardsticks. 1-6. 10.1109/CSIT.2016.7549476.

v t e Types of programming languages
Level	Machine Assembly Compiled Interpreted Low-level High-level Very high-level Esoteric
Generation	First Second Third Fourth Fifth

v t e Computer science
Note: This template roughly follows the 2012 ACM Computing Classification System.
Hardware	Printed circuit board Peripheral Integrated circuit Very-large-scale integration System on a chip (SoC) Energy consumption (green computing) Electronic design automation Hardware acceleration Processor Size / Form
Computer systems organization	Computer architecture Computational complexity Dependability Embedded system Real-time computing
Networks	Network architecture Network protocol Network components Network scheduler Network performance evaluation Network service
Software organization	Interpreter Middleware Virtual machine Operating system Software quality
Software notations and tools	Programming paradigm Programming language Compiler Domain-specific language Modeling language Software framework Integrated development environment Software configuration management Software library Software repository
Software development	Control variable Software development process Requirements analysis Software design Software construction Software deployment Software engineering Software maintenance Programming team Open-source model
Theory of computation	Model of computation Stochastic Formal language Automata theory Computability theory Computational complexity theory Logic Semantics
Algorithms	Algorithm design Analysis of algorithms Algorithmic efficiency Randomized algorithm Computational geometry
Mathematics of computing	Discrete mathematics Probability Statistics Mathematical software Information theory Mathematical analysis Numerical analysis Theoretical computer science
Information systems	Database management system Information storage systems Enterprise information system Social information systems Geographic information system Decision support system Process control system Multimedia information system Data mining Digital library Computing platform Digital marketing World Wide Web Information retrieval
Security	Cryptography Formal methods Security hacker Security services Intrusion detection system Hardware security Network security Information security Application security
Human–computer interaction	Interaction design Augmented reality Virtual reality Social computing Ubiquitous computing Visualization Accessibility
Concurrency	Concurrent computing Parallel computing Distributed computing Multithreading Multiprocessing
Artificial intelligence	Natural language processing Knowledge representation and reasoning Computer vision Automated planning and scheduling Search methodology Control method Philosophy of artificial intelligence Distributed artificial intelligence
Machine learning	Supervised learning Unsupervised learning Reinforcement learning Multi-task learning Cross-validation
Graphics	Animation Rendering Photograph manipulation Graphics processing unit Image compression Solid modeling
Applied computing	Quantum computing E-commerce Enterprise software Computational mathematics Computational physics Computational chemistry Computational biology Computational social science Computational engineering Differentiable computing Computational healthcare Digital art Electronic publishing Cyberwarfare Electronic voting Video games Word processing Operations research Educational technology Document management
Category Outline Glossaries

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 *[https://www.researchgate.net/publication/306925275_Application_domain_and_programming_language_readability_yardsticks Akour, Mohammed & Falah, Bouchaib. (2016). Application domain and programming language readability yardsticks. 1-6. 10.1109/CSIT.2016.7549476.]
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Programming domain: Difference between revisions

Revision as of 19:33, 7 October 2022

See also

References