Pattern matching for an object-oriented and dynamically typed programming language
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Pattern matching is a well-established concept in the functional programming community. It provides the means for concisely identifying and destructuring values of interest. This enables a clean separation of data structures and respective functionality, as well as dispatching functionality based on more than a single value. Unfortunately, expressive pattern matching facilities are seldomly incorporated in present object-oriented programming languages. We present a seamless integration of pattern matching facilities in an object-oriented and dynamically typed programming language: Newspeak. We describe language extensions to improve the practicability and integrate our additions with the existing programming environment for Newspeak. This report is based on the first author’s master’s thesis.
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Pattern matching for an object-oriented and dynamically typed programming language, Felix Geller
- Language
- Released
- 2010
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- Title
- Pattern matching for an object-oriented and dynamically typed programming language
- Language
- English
- Authors
- Felix Geller
- Publisher
- Univ.-Verl.
- Released
- 2010
- ISBN10
- 3869560657
- ISBN13
- 9783869560656
- Series
- Technische Berichte des Hasso-Plattner-Instituts für Softwaresystemtechnik an der Universität Potsdam
- Category
- Computers, IT, Programming
- Description
- Pattern matching is a well-established concept in the functional programming community. It provides the means for concisely identifying and destructuring values of interest. This enables a clean separation of data structures and respective functionality, as well as dispatching functionality based on more than a single value. Unfortunately, expressive pattern matching facilities are seldomly incorporated in present object-oriented programming languages. We present a seamless integration of pattern matching facilities in an object-oriented and dynamically typed programming language: Newspeak. We describe language extensions to improve the practicability and integrate our additions with the existing programming environment for Newspeak. This report is based on the first author’s master’s thesis.