Herding Cats

FEBRUARY 4, 2017

Barry Boehm's work in “Software Engineering Economics”. The Cone is a project management framework describing the uncertainty aspects of estimates (cost and schedule) and other project attributes (cost, schedule, and technical performance parameters). The notion of the Cone of Uncertainty has been around for awhile.

Technical Review 28

Technical Review Estimate 2005 Software Review 28

Herding Cats

AUGUST 1, 2018

We're writing two chapters in an upcoming Project Management Book, with a working title, The Gower Handbook of Project Performance for Agile, Waterfall and Everything in Between , edited by Mark Phillips. One chapter on the Principles of Risk Management and the second chapter on the Practices of Risk Management.

2012 29

2012 2007 2010 2006 29

Herding Cats

JANUARY 17, 2017

Barry Boehm's work in “Software Engineering Economics”. The Cone is a project management framework describing the uncertainty aspects of estimates (cost and schedule) and other project attributes (cost, schedule, and technical performance parameters). The notion of the Cone of Uncertainty has been around for awhile.

Technical Review 28

Technical Review 2005 Estimate Software Review 28

Herding Cats

JUNE 9, 2018

There is always lots of complaining about the biases introduced into managing projects and making the estimates needed to make project decisions. Optimism bias - a cognitive bias that causes a person to believe that they are at a lesser risk of experiencing a negative event compared to others. These principles originate in: .

Transportation 28

Transportation Software Engineering Finance 2011 28

Herding Cats

MARCH 4, 2017

Let's say you're the project or program manager of a large complex system. We cannot escape these two uncertainties - reducible and irreducible - and must learn how to manage in the presence of these uncertainties. Is each of these measures being met for the planned cost at the planned time? . Abstracted from [3].

2010 28

2010 2007 Estimate Aerospace 28

Herding Cats

JUNE 4, 2016

It is wrong to suppose that if you can’t measure it, you can’t manage it – a costly myth. This community of program controls, cost analyst, earned value managers and program managers is accountable for providing information to decision makers on enterprise and complex projects and programs. Technical Performance Measures.

Software Engineering 28

Software Engineering Performance Measurement Finance Manufacturing 28

Herding Cats

APRIL 4, 2019

In a recent exchange in social media, it was clear the notion of risk and the sources of risk, the consequences or risks and managing in the presence of risk was in very unclear, when it was conjectured , we can simply slice the work into small bits and REDUCE risk. . Software Risk Management , Barry W.

Risk Management 43

Risk Management Risk 2003 2011 43

Herding Cats

FEBRUARY 9, 2018

Here's an extract from "Chapter 8: Human Behavior and Complexity," Terry Cooke-Davies, in Aspects of Complexity: Managing Projects in a Complex World. This is a cautionary tale for those listening to the #NoEstimates advocates, where anecdotes of bad management are used in an attempt to replace established principles of business management.

Underperforming Technical Team 44

Underperforming Technical Team Estimate 2003 Software Review 44

Herding Cats

AUGUST 27, 2017

After having worked for outsourcing, consultancy and product companies I believe that creating a place where people really trust each other is easier when software engineers and stakeholders are both part of the same organization. This is standard Product Management. Done by every Product Manager for every Product Company.

Estimate 46

Estimate Software Review Underperforming Technical Team Technical Review 46

Herding Cats

MARCH 11, 2018

If we look at the discipline of software engineering, we see that the microeconomics branch of economics deals more with the types of decisions we need to make as software engineers or managers. Software engineering economics." IEEE Transactions of Software Engineering, 1 (1984): 4-21.

Software Developers 34

Software Developers Software Development Risk Management Risk 34

Herding Cats

JUNE 7, 2018

Risk interaction within systems and subsystems, between functional and physical elements, can also be modeled with DSM. DSM models interacting risks in a graphical representation produce numerical simulations of the risk and impacts on the probability of program success. Traditional risk models cannot model loops.

Underperforming Technical Team 32

Underperforming Technical Team SCRUM Software Engineering Risk Management 32

Herding Cats

JUNE 7, 2018

Risk interaction within systems and subsystems, between functional and physical elements, can also be modeled with DSM. DSM models interacting risks in a graphical representation produce numerical simulations of the risk and impacts on the probability of program success. Traditional risk models cannot model loops.

Underperforming Technical Team 28

Underperforming Technical Team SCRUM Software Engineering Risk Management 28