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object-oriented programming

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object-oriented programming
NameObject-oriented programming
ParadigmProgramming paradigm
Year1960s–1970s
DesignersAlan Kay, Ole-Johan Dahl, Kristen Nygaard
Influenced bySimula, Smalltalk, Lisp
InfluencedC++, Java, C#, Python

object-oriented programming

Object-oriented programming is a programming paradigm that organizes software design around objects and classes to model real-world entities and relationships. Its development drew on early work in Norway, Xerox PARC, and research by pioneers such as Alan Kay, Ole-Johan Dahl, and Kristen Nygaard, influencing languages like Smalltalk, C++, and Java. Proponents argue it facilitates modularity, reuse, and maintainability, while critics from communities around Python (programming language), Haskell, and Erlang highlight complexity and misuse in large systems.

History

The history traces roots to the development of Simula at the Norwegian Computing Center and later experimentation at Xerox PARC with Smalltalk led by Alan Kay, and was shaped by academic work at institutions like Stavanger University College and corporations such as Sun Microsystems. Early milestones include the publication of Simula concepts by Ole-Johan Dahl and Kristen Nygaard and the later popularization through Adele Goldberg and Dan Ingalls at Xerox PARC. Commercial adoption accelerated with the release of C++ by Bjarne Stroustrup and the standardization efforts involving organizations such as ISO and corporations like Microsoft. Conferences such as OOPSLA and journals published by ACM chronicled theoretical advances and industrial case studies, while textbooks by authors like Bertrand Meyer and Grady Booch codified practices.

Core Concepts

Core concepts originated in Simula and Smalltalk implementations and were formalized across languages influenced by academic and corporate research from MIT, Stanford University, and Bell Labs. Fundamental ideas include classes and objects introduced in Simula, inheritance as studied by Barbara Liskov in systems at MIT, encapsulation practices discussed in Xerox PARC reports, polymorphism present in languages taught at Carnegie Mellon University, and message passing emphasized in Smalltalk research by Dan Ingalls. Related mechanisms such as interfaces and abstract classes were formalized by designers like Bjarne Stroustrup for C++ and by engineering teams at Sun Microsystems for Java. Tools and environments developed at companies like JetBrains and institutions such as Bell Labs implement these concepts via compilers, runtimes, and virtual machines.

Languages and Implementations

Prominent languages that implemented object-oriented ideas include Smalltalk from Xerox PARC, C++ by Bjarne Stroustrup at Bell Labs, and Java developed by engineers at Sun Microsystems. Other languages influenced by OOP research include Objective-C from NeXT, C# from Microsoft Research, and dynamic languages such as Ruby and Python (programming language) with implementations developed at organizations like Yukihiro Matsumoto's community and Guido van Rossum's teams. Virtual machines and runtime systems for these languages were engineered by groups at Oracle Corporation, Microsoft Corporation, and open-source communities around Apache Software Foundation and Eclipse Foundation, while language standards were maintained through bodies like ISO and industry consortia.

Design Principles and Patterns

Design principles evolved through academic research at Carnegie Mellon University and industrial practice at firms like IBM, and were propagated via pattern catalogs by authors associated with Gang of Four and universities such as UC Berkeley. Key principles include single responsibility, open/closed, Liskov substitution (named for Barbara Liskov), dependency inversion, and interface segregation articulated in engineering teams at Microsoft and consulting firms such as ThoughtWorks. Design patterns such as Singleton, Observer, Factory, and Strategy were formalized by practitioners from Gamma et al. and showcased at conferences like OOPSLA and in textbooks used at MIT and Stanford University. Architecture styles incorporating OOP concepts were applied in systems built by corporations including Google and Amazon (company).

Criticism and Limitations

Criticism emerged from research communities around MIT and INRIA and from language designers such as those behind Haskell and Erlang, focusing on issues like overuse of inheritance noted in studies at Carnegie Mellon University and performance overhead demonstrated in benchmarks by teams at Bell Labs. Critics associated with projects at Google and research groups at IBM Research highlight maintainability problems in large legacy codebases and difficulties in reasoning about mutable state studied at Stanford University. Empirical software engineering studies published by ACM and IEEE report on complexity, testing challenges, and inappropriate abstraction that can arise in systems developed at firms like Microsoft Corporation and Facebook.

Applications and Use Cases

OOP has been applied in enterprise systems developed by companies such as IBM, Oracle Corporation, and SAP SE; in desktop applications built by Adobe Systems and Microsoft; and in game development studios like Electronic Arts and Ubisoft. It underpins frameworks and platforms including Spring Framework, .NET Framework, and graphical environments such as those from Apple Inc. and Xerox PARC research spin-offs. Academic projects at MIT and CMU and industrial systems at Siemens and General Electric have used OOP for simulation, modeling, and large-scale software engineering tasks.

Category:Programming paradigms