Remove Estimate Remove Manufacturing Remove Risk Management Remove Software Engineering
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Basis of Estimating Software Development

Herding Cats

The estimating of software development is both straightforward and complex. When it is suggested that estimating is hard, of no value, and unnecessary, always ask what principle is used to support that claim? Software Sizing and Estimating: Mk II FPA , Charles Symons, John Wiley & Sons, 1991. Don't hear one?

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Risk Management Resources

Herding Cats

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. requires making estimates) ? Risk Management Papers. “A

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Generative AI and Project Management in 2024: Three Themes to Watch

MPUG

Increasingly, all enterprises are becoming software-led, which is changing the traditional project management lifecycle into the continuous iterative loop that modern software teams have employed for decades. In our experience, there are a few key themes to watch in 2024 as generative AI impacts Project Management : 1.

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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. requires making estimates) ?

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4 Fallacious Reasons to Estimate and Why Those Are Fallacious

Herding Cats

There's a recent post titled Four Fallacious Reasons to Estimate. It lists the usual suspects for why those spending the money think they don't have to estimate how much they plan to spend when they'll be done producing the value they've been assigned to produce for that expenditure. Let's look at each one in more detail.

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Reading List for the Cone of Uncertainty

Herding Cats

The primary purpose of software estimation is not to predict a project’s outcome; it is to determine whether a project’s targets are realistic enough to allow the project to be controlled to meet them ? This variation can be explained by the fact that initial concepts do not describe the final software system accurate enough.

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The Economics of Decision Making on Software Projects

Herding Cats

The classic paper “ Software Engineering Economics,” Barry Boehm, IEEE Transactions on Software Engineering , Vol SE-10(1), 1984, pp. One model that is many times misunderstood by the agile community is the Cone of Uncertainty surrounding estimates as well as the technical and operational aspects of the project.