The Continuing Quest for Abstraction
The history of Object-Oriented Programming can be interpreted as a continuing quest to capture the notion of abstraction – to create computational artifacts that represent the essential nature of a situation, and to ignore irrelevant details. Objects are defined by their essential behavior, not by their physical representation as data. The basic Object-Oriented paradigm of organizing programs as active objects and message passing has now been accepted by the mainstream, for which ECOOP can be justifiably proud. Future developments in the field will focus on capturing computational ideas that can’t be expressed well simply by functional abstraction. Programming will evolve from textual programming languages to using natural language, graphics, demonstrated actions, and other techniques.
KeywordsNatural Language Message Passing Computational Idea Visual Programming Programmatic Semantic
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- 1.Edwards, J.: Subtext: Uncovering the Simplicity of Programming. In: 20th annual ACM SIGPLAN Conference on Object-Oriented Programming Systems, Languages, and Applications (OOPSLA), Diego, California (October 2005)Google Scholar
- 2.Lieberman, H. (ed.): Your Wish is My Command: Programming by Example. Morgan Kaufmann, San Francisco (2001)Google Scholar
- 3.Lieberman, H., Paterno, F., Wulf, V. (eds.): End-User Development. Springer, Heidelberg (2006)Google Scholar
- 4.Liu, H., Lieberman, H.: Toward a Programmatic Semantics of Natural Language. In: Proceedings of VL/HCC2004: the 20th IEEE Symposium on Visual Languages and Human-Centric Computing, September 26-29, pp. 281–282. IEEE Computer Society Press, Los Alamitos (2004)Google Scholar
- 5.Liu, H., Lieberman, H.: Programmatic Semantics for Natural Language Interfaces. In: Proceedings of the ACM Conference on Human Factors in Computing Systems, CHI 2005, Portland, OR, USA, April 5-7, ACM Press, New York (2005)Google Scholar
- 6.Liu, H., Lieberman, H.: Metafor: Visualizing Stories as Code. In: Proceedings of the ACM International Conference on Intelligent User Interfaces, IUI 2005, San Diego, CA, USA, January 9-12, ACM Press, New York (to appear, 2005)Google Scholar
- 8.Milhacea, R., Lieberman, H., Liu, H.: NLP for NLP: Natural Language Processing for Natural Language Programming. In: International Conference on Computational Linguistics and Intelligent Text Processing, Mexico City, February 2006. LNCS, Springer, Heidelberg (2006)Google Scholar
- 9.Zadeh, L.: Precisiated natural language (PNL). AI Magazine 25(3), 74–91 (2004)Google Scholar