The Proposal of a Process Flow Model and Metamodel for the Feature Driven Development Method

Merzouk, Soukaina; Marzak, Abdelaziz; Sael, Nawal

doi:10.1007/978-3-031-02447-4_50

Cited by 1 publication

(1 citation statement)

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“…It was declared as an approach in 2001 at a convention named "Manifesto" defining the 4 values and 12 principles and including a set of methods [1], [2]. Agile methods, Viz, Scrum, eXtreme programming (XP), feature driven development (FDD), and others [3]- [7], are based on a development cycle that is customer-focused and involves the realization of the project from the beginning to the end. Thanks to agile methods, the client got better visibility of the work than in the case of traditional methods [8].…”

Section: Introductionmentioning

confidence: 99%

Best Agile method selection approach at workplace

Merzouk,

Jabir,

Marzak

et al. 2024

Bulletin EEI

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Selecting the most suitable agile software development method is a challenging task due to the variety of available methods, each with its strengths and weaknesses. To achieve project goals effectively, factors such as project needs, team size, complexity, and customer involvement should be carefully evaluated. Choosing the appropriate agile method is crucial for achieving high client satisfaction and effective team management, but it can be a challenging task for project managers and higher-level management officials.This paper presents a solution aiming to help them in selecting the most suitable software development method for their project. In this regard, this solution includes a pre-project management approach model and a decision tree that considers the unique requirements of the project. In the proposed solution results, Scrum was found to be suitable for both small and large projects, on the condition that roles and responsibilities are clearly defined and that the approach is people-centric. Furthermore, high-risk mitigation measures should be added for small projects. To facilitate the use of our model, a software application has been developed which implements the decision-making tree.

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Section: Introductionmentioning

confidence: 99%