Artificial intelligence for choosing an agile method

S. Merzouk, S. Bouhsissin, Touria Hamim, N. Sael, A. Marzak
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Abstract

Agile methods are widely known in different companies, including information technology (IT) companies. They appeared intending to solve the problems of traditional methods while proposing an iterative and incremental cycle. These methods consist of four values and the twelve principles agreed upon in 2001 in a Manifesto. However, each method holds singularities from which it is difficult to choose one to adopt in different project cases. The selection of the method to adopt positively or negatively affects the final product following the criteria of the project and the personnel. Project experts must research and compare methods manually to make a choice, a thing that drains time, which is a key factor in project realization. Currently, there is no intelligent system or model that allows choosing the agile method to adopt for such a project. For this purpose, artificial intelligence (AI) techniques will be used to develop a Chatbot that allows reaching the aim. This Chatbot will be developed based on a decision tree model that will be proposed from an experimental study.
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选择敏捷方法的人工智能
敏捷方法在不同的公司(包括信息技术公司)广为人知。它们的出现旨在解决传统方法的问题,同时提出了一种迭代和渐进的循环。这些方法包括四个价值观和 2001 年在《宣言》中商定的十二项原则。然而,每种方法都有其独特性,很难从中选择一种方法用于不同的项目案例。根据项目和人员的标准,选择采用哪种方法会对最终产品产生积极或消极的影响。项目专家必须通过手动研究和比较各种方法来做出选择,这就耗费了时间,而时间是实现项目的关键因素。目前,还没有一种智能系统或模型,可以为此类项目选择应采用的敏捷方法。为此,我们将利用人工智能(AI)技术开发一个聊天机器人,以实现这一目标。该聊天机器人将根据实验研究提出的决策树模型进行开发。
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