Agile and IoT Methodologies in Managing IoT Projects

Author:

Merzouk Soukaina1,Marzak Abdelaziz2,Sael Nawal2

Affiliation:

1. Polydisciplinary Faculty of Sidi Bennour, Chouaib Doukkali University, El Jadida, Morocco

2. Faculty of Sciences Ben M'sik, Hassan II University, Casablanca, Morocco

Abstract

The internet of things (IoT) is revolutionizing industries by connecting physical objects to the internet through technologies like RFID and short-range wireless communications. To develop IoT solutions, various software development approaches have been adapted, including Scrum, Kanban, Large-Scale Scrum, and Scaled Agile Framework. However, these methodologies often lack flexibility and struggle to handle the unique challenges of IoT projects. This study aims to analyze and evaluate existing agile and IoT methodologies such as DSDM, DAD, Less, and ELDAMeth, comparing their capabilities, characteristics, and behaviors. By providing this comprehensive comparison, the goal is to assist in selecting the most suitable methodology for IoT projects and identify their respective advantages and limitations of each approach to suggest a new, approved IoT management methodology.

Publisher

IGI Global

Reference23 articles.

1. Large-scale agile frameworks: A comparative review. Journal of Applied Sciences;F.Almeida;Management and Engineering Technology,2021

2. AmblerS. W.LinesM. (2012). Disciplined Agile Delivery: A Practitioner’s Guide to Agile Software Delivery in the Enterprise. IBM Press.

3. CohnM. (2005). Agile estimating and planning. Pearson Education.

4. Collins, T. (2014). A Methodology for Building the Internet of Things. Academic Press.

5. DSDM. (1998). Dynamic Systems Development Method. https://docplayer.fr/5488317-Dynamic-systems-development-method.html

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