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A critical look at the relationship between AI and software engineering

机译:批判性地看待AI与软件工程之间的关系

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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.
机译:讨论了与将人工智能(AI)应用于软件工程(SE)以及反之有关的许多关键问题。与AI如何帮助SE相关的问题是:自动编程是否与SE的AI等同,并且在接下来的十年中它是否代表SE的主要范例?专家系统技术是否足够成功且足够成熟,可以为SE过程的某些方面提供重要的解决方案; AI开发和维护环境是否适合直接应用于SE流程;如何将AI方法学应用于软件设计过程;以及AI快速原型制作范例如何用作SE范例。与普遍认为SE对AI没有用的普遍看法有关的问题有:SE是瀑布模型的同义词,并且瀑布模型是线性的,因此不适合AI;无法指定专家系统,因此SE技术不适用;而且AI软件易于维护,因此不需要SE。试图在目标和问题的层次上关联AI和Se。

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