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Artificial intelligence for choosing an agile method

Merzouk, SoukainaBouhsissin, SoukainaHamim, TouriaSael, NawalMarzak, Abdelaziz
IAES International Journal of Artificial Intelligence (IJ-AI) (Sinta 1)Vol. 0 No. 01 Juni 2024
DOI10.11591/ijai.v13.i2.pp1557-1566

Abstrak

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.

Kata Kunci

Decision Tree AlgorithmsChatbotAgile methodArtificial intelligenceChatbotDecision treeMachine learning

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