Herding Cats

OCTOBER 1, 2016

For software, this can be value produced (assuming we have a unit of measure for that value in the for of effectiveness, performance, key performance parameters, or technical performance measures ). It can be the cost, schedule, and technical performance measures of the software project.

Closing 28

Closing Estimate Controlling Process 28

Herding Cats

FEBRUARY 9, 2018

I've seen estimates abused by bad managers, so let's NOT estimate and that will fix the behavior of Bad Managers." While the human behaviors are real and observable, conjecturing that decisions can be made in the presence of uncertainty without estimating the outcome of those decisions, there is no principle to support that conjecture.

Underperforming Technical Team 44

Underperforming Technical Team Estimate 2003 Software Review 44

Herding Cats

JULY 24, 2017

The paper on the Cone of Uncertainty is used by many in the No Estimates community as an example of why estimates are of little use. In this paper, there is data that does not follow the Cone of Uncertainty, in that the uncertainty of the estimates does not reduce as the project proceeds. Then there is some analysis.

2007 42

2007 2012 2006 2008 42

Herding Cats

JANUARY 22, 2017

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). This is a closed loop control system for managing the program with a T echnical Performance Measure (TPM).

Technical Review 28

Technical Review 2005 Estimate Software Review 28

Herding Cats

NOVEMBER 14, 2018

AHP was developed in the 1970s by Dr. Thomas Saaty. AHP has been studied, refined, and applied for over 40 years to be an effective approach to complex group decision making. [7]. In our agile software development world, AHP is rarely found. Mathematically, the value equals performance over cost plus time.

Technical Review 47

Technical Review 2010 2014 Software Developers 47

Herding Cats

FEBRUARY 4, 2017

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). Estimates are needed but are subject to large level of uncertainty. There can be cost and schedule performance measures as well.

Technical Review 28

Technical Review Estimate 2005 Software Review 28

Herding Cats

JANUARY 17, 2017

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). This is a closed loop control system for managing the program with a T echnical Performance Measure (TPM).

Technical Review 28

Technical Review 2005 Estimate Software Review 28

Herding Cats

AUGUST 1, 2018

“The Cone of Uncertainty,” Stephen Gryphon, Phillippe Kruchten, and Steve McConnell, Letters, IEEE Software , 23 (5) 2006, pp 8?10. Coping with the Cone of Uncertainty: An Empirical Study of the SAIV Process Model,” Da Yang, Barry Boehm, Ye Yang, Qing Wang, and Mingshu Li, ICSP 2007 , LNCS 4470, pp. 37–48, 2007.

2012 29

2012 2007 2010 2006 29

Workamajig

JANUARY 11, 2021

Actual dates are different from planned or estimated dates. Actual Effort: The actual effort spent to complete the activity, as opposed to the planned or estimated effort. Actual Expenditure: The actual expenditure spent to complete the activity, as opposed to the planned or estimated expenditure.

Underperforming Technical Team 78

Underperforming Technical Team Project Life Cycle Estimate Risk Management 78

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. With these business principles of software development and projects in general, we can ask and answer five principles of project success. An exploratory study," Ricardo Colomo?Palacios,

Transportation 39

Transportation Software Engineering Finance 2011 39

Herding Cats

APRIL 4, 2019

The term Epistemic comes from Epistemology, the study of knowledge. 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. Software Engineering Risk Management , Dale Karolak, IEEE Computer Society Press, 1996. No References?

Risk Management 43

Risk Management Risk 2003 2011 43

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.

2010 28

2010 2007 Estimate Aerospace 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. With these business principles of software development and projects in general, we can ask and answer five principles of project success. An exploratory study," Ricardo Colomo?Palacios,

Transportation 28

Transportation Software Engineering Finance 2011 28

Wrike

NOVEMBER 7, 2018

Browse this collection of project management statistics collected from studies and reports from the past five years. Paper-based self-studies – 16%. Estimated Project-Oriented Job Openings 2010-2020: . Implement/enhance performance measurement process – 39%. [13]. Inadequate cost estimates – 29%.

2015 60

2015 Technical Review Underperforming Technical Team Software Review 60

Herding Cats

OCTOBER 16, 2018

For approaches that have been implemented on existing systems, obtaining such understanding may require measurement and analysis. For scenarios where the project under consideration does not yet exist, performance prediction using analytical modeling or simulation is necessary. This is the basis of Earned Value Management.

Aerospace 41

Aerospace Engineering 2012 2014 41