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.

Risk Management 38

Risk Management Risk Technical Review 2002 38

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. 3, March 2002.

Risk Management 35

Risk Management Risk Technical Review 2002 35

Herding Cats

MARCH 17, 2019

Business, Technical, Systems, Risk, and Project Management. Nine Best Practices of Project Management , Software Program Managers Network (SPMN). Project Governance. Agile Software Development for Government Software Intensive System of Systems (SISoS) , Boulder Agile Meetup, 27 July 2016.

2003 54

2003 2011 2008 Performance Measurement 54

Herding Cats

MARCH 11, 2017

The naturally occurring work effort in the development of a software feature - even if we've built the feature before - is an irreducible uncertainty. The risk is created when we have not accounted for this natural variances in our management plan for the project. An aleatory risk is expressed as a relation to a value.

2003 46

2003 2014 2015 2011 46

Herding Cats

JULY 8, 2018

This advocate continually confuses Macroeconomics of financial markets and sovereign finance with Microeconomics of software development. Here's a book review from 2008, about Black Swans and Fooled By Randomness in the context of managing software development in the presence of uncertainty. Acquiring Data Retires Risk.

2002 34

2002 2008 Technical Review Software Review 34

Herding Cats

OCTOBER 5, 2018

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 ? A Probabilistic Method for Predicting Software Code Growth," Michael Ross, Journal of Cost Analysis and Parametrics 4:127-147, 2011. "10

2012 48

2012 2007 2011 2010 48

Herding Cats

JULY 8, 2018

This advocate continually confuses Macroeconomics of financial markets and sovereign finance with Microeconomics of software development. Here's a book review from 2008, about Black Swans and Fooled By Randomness in the context of managing software development in the presence of uncertainty. Acquiring Data Retires Risk.

2002 28

2002 2008 Technical Review Software Review 28