Herding Cats

AUGUST 1, 2018

Specific actions to reduce the Episuncertaintiesnaties and Margin to handle the Aleatory uncertainies are part of any good project management process. . 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

Herding Cats

DECEMBER 3, 2017

The planned uncertainty not only needs to decrease over time passing, but this reduction diminishes any impacts of risk on the decision-making processes. Seems there is still some confusion (intentional or accidental) about the Cone of Uncertainty and its purpose and its use in software development. 37-48, 2007.

2007 34

2007 2012 2009 2010 34

Herding Cats

JANUARY 9, 2017

Aleatory uncertainty, which is the naturally occurring yields variances in the underlying processes. Epistemic uncertainty comes from probabilistic processes that can be addressed with handling responses. The idea of risk and its management and handling is a critical success factor for all software development.

Estimate 28

Estimate Risk 2010 Software Engineering 28

Herding Cats

APRIL 8, 2017

Much of the conversation in social media around agile techniques seems to be based on the differences between the variety of choices of a method, a process, or a practice and definitions of terms for those choices. I work in a domain where systems are engineered for the customer. Two Books in the Spectrum of Software Development.

Web Development 37

Web Development Software Engineering Engineering 2010 37

Herding Cats

MARCH 4, 2017

The uncertainty is always there, it doesn't go away with specific actions in specific domains, or with the use of any tools, processes, or practices. If they are not reducing, then the project is headed for trouble, the and management processes of the project has failed to performance its job. . For example for a recent paper abstract.

2010 28

2010 2007 Estimate Aerospace 28

Herding Cats

JANUARY 22, 2017

Barry Boehm's work in “Software Engineering Economics”. The Measure that is modeled in the Cone the variable is the Quantitative basis of a control process that establishes the goal for the performance measure. The processes is an engineering discipline. 1] Systems Engineering Measurement Primer, INCOSE. [2]

Technical Review 28

Technical Review 2005 Estimate Software Review 28

Herding Cats

JANUARY 17, 2017

Barry Boehm's work in “Software Engineering Economics”. The Measure that is modeled in the Cone the variable is the Quantitative basis of a control process that establishes the goal for the performance measure. The processes is an engineering discipline. 1] Systems Engineering Measurement Primer, INCOSE. [2]

Technical Review 28

Technical Review 2005 Estimate Software Review 28

Herding Cats

FEBRUARY 4, 2017

Barry Boehm's work in “Software Engineering Economics”. The Measures that are modeled in the Cone of Uncertainty are the Quantitative basis of a control process that establishes the goal for the performance measures. The processes is an engineering discipline. Prentice-Hall, 1981.

Technical Review 28

Technical Review Estimate 2005 Software Review 28

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

nTask

AUGUST 8, 2019

We have gone an extra mile to illustrate various real life use cases and examples where waterfall is implemented, and how one can use nTask to further simplify that process – so on and so forth. It follows a sequential, linear process which is why it is often described as a “linear-sequential life cycle model”.

Software Review 97

Software Review 2019 Development Team Review Technical Review 97

Herding Cats

APRIL 4, 2019

Misconceptions of Risk , Terje Aven, John Wiley & Sons, 2010. Critical Code, Software Producibility for Defense, Committee for Advancing Software-Intensive Systems Producibility , Computer Science and Telecommunications Board Division on Engineering and Physical Sciences, National Research Council of the National Academies, 2010.

Risk Management 43

Risk Management Risk 2003 2011 43

Herding Cats

MAY 7, 2019

So start here to build your academic foundation, that can be put to work to build a foundation of validated experience of making estimates in the presence of uncertainty and protect yourself from fallacious claims that estimates are a waste, not needed, and produce bad resulting in the decision making process for those paying you to produce value.

Estimate 40

Estimate Software Review Software 2012 40

Herding Cats

NOVEMBER 7, 2016

The same process for estimating is applied to multi-billion dollar projects we work. And the same process is applied to the Scrum development processes on those projects. . Here's some materials that provide the tools and processes needed to learn how to estimate. The Future of Systems-and Software Development.

Estimate 64

Estimate 2006 2005 2013 64