DocumentCode :
3392853
Title :
A critical look at the relationship between AI and software engineering
Author :
Tsai, W.T. ; Heisler, K.G. ; Volovik, D. ; Zualkernan, I.A.
Author_Institution :
Dept. of Comput. Sci., Minnesota Univ., Minneapolis, MN, USA
fYear :
1988
fDate :
29-31 Aug 1988
Firstpage :
2
Lastpage :
18
Abstract :
A number of key issues relating to the application of artificial intelligence (AI) to software engineering (SE) and the reverse are discussed. Issues relating to how AI can help SE are: whether automatic programming is synonymous with AI for SE and whether it represents a major paradigm for SE in the next decade; whether expert systems technology is sufficiently successful and mature enough to provide significant solutions to certain aspects of the SE process; whether AI development and maintenance environments are suitable for direct application to the SE process; how AI methodology can be applied to the software design process; and how the AI rapid prototyping paradigm is useful as a SE paradigm. Issues relating to the common belief that SE is not useful for AI are: SE is synonymous with the waterfall model, and the waterfall model is linear and hence not suitable for AI; expert systems can not be specified and thus SE techniques do not apply; and AI software is easy to maintain and thus SE is not required. An attempt is made to relate AI and Se at the level of objectives and issues
Keywords :
artificial intelligence; automatic programming; expert systems; software engineering; AI; artificial intelligence; automatic programming; expert systems; maintenance environments; rapid prototyping; software design; software engineering; waterfall model; Application software; Artificial intelligence; Bridges; Computer science; Humans; Machine intelligence; Productivity; Programming; Software engineering; Software maintenance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Languages for Automation: Symbiotic and Intelligent Robots, 1988., IEEE Workshop on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-0890-0
Type :
conf
DOI :
10.1109/LFA.1988.24945
Filename :
24945
Link To Document :
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