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Top 10 Project Management Methodologies – An Overview

ProjectManager.com

We’ll go through some of the most popular project management methodologies, which are applied in many sectors such as software development, R&D and product development. When to Use It: The practice originated in software development and works well in that culture. Top 10 Project Management Methodologies.

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5 Crucial Roles in the Project Management Blueprint

NimbleWork

Examples: Software development project manager. Oversees the development process, manages the development team, creates and tracks the project schedule, and ensures the software meets user requirements. Communicating effectively with stakeholders and keeping them informed. PMI , 2017.

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Scrum Guide 2020 — Download the Free Scrum Guide 2020 Reordered to Spot Changes and Patterns

Scrum.org

The Scrum Guide 2020 is available now: Change is coming to make Scrum more accessible and inclusive beyond software development. Scrum has witnessed many applications beyond its origins of software development over recent years. TL; DR: The Scrum Guide 2020. Do you want to get this article in your inbox?

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Agile Project Management: What is it and Why is it so Important?

Online PM Courses

And many project managers still think it is something that only applies to software development. I made it back in early in my YouTube career in the summer of 2017. Iterative and incremental software development methods go back as early as 1957 – and maybe earlier. So, it doesn’t apply to them.

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In-Depth: The Science On Sustainable Pace, Stress, And Motivation

Scrum.org

This increases blood pressure, heart rate, and tenses muscles (McEwen, 2017). Neuroscientific research has shown that the neurotransmitter dopamine increases our intrinsic motivation, and is also released upon pursuing that motivation (Di Domenico & Ryan, 2017). Analysis of fault generation caused by stress during software development.

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In-Depth: The Evidence-Based Business Case For Agile

Scrum.org

Hoda & Noble (2017) identified learning processes as essential for teams to become Agile. In International Conference on Agile Software Development (pp. Information and Software Technology , 78 , 83–94. Information and Software Technology , 55 (2), 412–427. 2017, May). Jørgensen, M.

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Project Management Challenges with Artificial Intelligence

International Institute for Learning

Advances in software development. Growth in information warehouses and business intelligence systems. For an understanding of AI concepts and how they are used in projects, PMs may require training that include tools related to statistics, software development, advanced data analyses, trend analyses, and data intuition analyses.