Performance Measurement Reference Software Software Engineering 
Herding Cats
MARCH 11, 2018
Microeconomics is applicable to the development is software systems. 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."
Herding Cats
APRIL 4, 2019
Research shows that for projects, especially software projects Aleatory uncertainty is the predominant source of risk. All making things smaller dos is show that you're late, over budget, and what you're building (Technical Performance Measures) doesn't work faster. No References? Software Risk Management , Barry W.
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Herding Cats
DECEMBER 8, 2017
It can be the needed performance of a measure - Effectiveness, Performance, Key Performance Parameter, or a Technical Performance Measures. The specifics of the Technical Performance Measures applied to inform Physical Percent Complete and the Cone of Uncertainty around the TPM are shown here.
Herding Cats
AUGUST 1, 2018
Since there has been some confusion around the CoU in the past, about whether it can be reduced, whether there is credible data showing it is valid or not, whether those claiming it can't be reduced have any Root Cause Analysis as to why it wasn;t reduced, I thought I'd included the references we're using. 37–48, 2007.
Herding Cats
MARCH 4, 2017
This is an immutable principle that impacts planning, execution, performance measures, decision making, risk, budgeting, and overall business and technical management of the project and the business funding the project no matter the domain, context, technology or any methods. All project work operates in the presence of uncertainty.
Herding Cats
FEBRUARY 9, 2018
This model can be produced parametrically (Reference Class Forecasting) or through a simulation (Monte Carlo or Method of Moments is common). . Or ANY software project for that matter. In the project domain, an estimate is a calculated approximation of some desired measurement. Estimates have precision and accuracy.
Herding Cats
AUGUST 27, 2017
Although I understand measuring productivity could work well for repeatable activities, it's hard to believe it works well for abstract and, ultimately, non-repeatable tasks like software development. Thus, the common approach to "measure productivity" is to compare the estimates against what, in fact, happened.
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