Use of Artificial Intelligence in Software Development Life Cycle

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Abstract

Current automated software development life cycle was mainly allotting with the automated generation code. That kind of method mostly include in the software combination from model’s design, predetermined polices or the fixed rules. In this paper we discuss about the propose an approach that should went above the SDL automated that should be presenting direct method which is able to make decision and take decision to generate code and  software. The ontology do an important part of  developer by fulfill the development of software  affair freely. [2]Thus behavior catch a database of  ontological  permit highest level judgement to explain design and incorporate the logic of system depend on the configuration system which is physical system . This kind of method  implement in graphical tools. This paper discuss the autonomated ontological form of  methodology create the code of according to artificial intelligence
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人工智能在软件开发生命周期中的应用
当前的自动化软件开发生命周期主要是用自动生成代码来分配的。这种方法主要包括在软件组合中从模型的设计、预先确定的策略或固定的规则。在本文中,我们讨论了一种应该超越SDL自动化的方法,它应该是一种能够做出决策并采取决策来生成代码和软件的直接方法。本体通过自由地完成软件事务的开发,成为开发人员的重要组成部分。[2]因此,行为捕获一个本体论的数据库,允许最高级别的判断来解释设计,并结合系统的逻辑,依赖于配置系统,即物理系统。这种方法在图形化工具中实现。本文讨论了基于人工智能的代码生成方法的自主本体论形式
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