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

Scrum.org

2010) reviewed 28 scientific studies that investigated how Scrum is associated with overall business outcomes. Many studies have identified high autonomy as an important prerequisite for Agile teams ( Moe, Dingsøyr & Dybå, 2010 ; Donmez & Gudela, 2013 ; Tripp & Armstrong, 2018 ; Melo et. 2010, April). Cardozo et.

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In-Depth: Stable Or Fluid Teams? What Does The Science Say?

Scrum.org

This concern is also present in academic literature, where authors like Mathieu and his colleagues (2008) and Mortensen and Haas (2018) point out that there is a research gap because studies are often based on stable teams, whereas this is often not the case in the modern workplace. Human Resource Development International , 13 (1), 111–120.

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Risk Management Resources

Herding Cats

255, April 2010. Project risk management: lessons learned from software development environment,” Young Hoon Kwak and Jim Stoddard,” Technovation , 24(11), pp. 24, 2010. “A Turof, IOP Conference Series: Materials Science and Engineering , 400, 2018. “A Software Engineering Institute, January 1996.

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A Compendium of Risk Management Resources

Herding Cats

This blog page is dedicated to the resources used to manage the risk encountered on software-intensive systems using traditional and agile development methods. Let's start with a critical understanding of the purpose of managing risk on software development projects. 255, April 2010. 24, 2010. “A

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A Compendium of Works to Increase the Probability of Project Success

Herding Cats

Applying Deliverables Based Planning ® To Increase Our Probability of Success , PMI Fort Worth, Chapter Meeting, 15 July 2010. Agile Software Development for Government Software Intensive System of Systems (SISoS) , Boulder Agile Meetup, 27 July 2016. How to Develop Credible Cost & Schedule Estimate.

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Software Estimating Resources

Herding Cats

Effort Distribution to Estimate Cost in Small to Medium Software Development Project with Use Case Points,” Putu Linda Primandari and Sholiq, The Third Information Systems International Conference, Procedia Computer Science, 72, pp. Software Development Effort Estimation using Fuzzy Bayesian Belief Network with COCOMO II,” B.

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A Better Microsoft Project: Workload Levelling and Resource-Critical Path

MPUG

Examples are software development, new product development, pharmaceutical clinical studies, telecommunication, research and development, education, and government projects. Starting with the 2010-release, Microsoft Project could find the 19?day SuperProject used multiple algorithms to find the tightest schedule.

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