Governance Presentation Risk Management Software Engineering 
Scrum.org
MARCH 7, 2023
The paper presents successful examples of new product development projects by Japanese companies and lays out some of the characteristics these projects had in common. Living in Japan, I am partly amused, partly puzzled by the amount of warnings and rules I encounter everyday that are designed to reduce even the smallest risks.
The IIL Blog
OCTOBER 24, 2023
By Eugene Bounds and Steve Ackert Recently, the buzzword artificial intelligence (AI) has been on everyone’s minds, not just in the tech world but across many industries, including project management. For over a quarter of a century, the Standish Group has tracked, reported, and improved software-intensive project success rates. [1]
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Herding Cats
MAY 10, 2019
Risk Management is essential for development and production programs. Risk issues that can be identified early in the program, which will potentially impact the program later, termed Known Unknowns and can be alleviated with good risk management. Effective Risk Management 2 nd Edition , Edmund Conrow, AIAA, 2003.
Herding Cats
MAY 11, 2019
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. reducible and irreducible ? De Meyer, C.
Epicflow Blog
SEPTEMBER 19, 2022
Do you know your organization’s project management maturity level? If not, it’s high time to change the situation: project management maturity has a direct impact on a company’s competitiveness and business success. . What is project management maturity exactly, and how to define its level?
Teamweek
AUGUST 1, 2023
Some of the most important data analyst skills include data analysis, statistical programming languages, data management, data visualization, good communication skills, machine learning and even Excel skills. The real difference is that a data scientist is usually more experienced and works with more complex data processes.
Herding Cats
MARCH 11, 2017
Uncertainty is related to three aspects of the management of projects: The external world - the activities of the project itself. The naturally occurring work effort in the development of a software feature - even if we've built the feature before - is an irreducible uncertainty. An aleatory risk is expressed as a relation to a value.
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