Herding Cats

MAY 10, 2019

Taxonomy-Based Risk Identification,” Marvin Carr, Suresh Konda, Ira Monarch, Carlo Ulrich, and Clay Walker, Technical Report, CMU/SEI-93-TR-6, Software Engineering Institute, June 1993. IEEE Transactions on Software Engineering , Vol. 255, April 2010. 24, 2010. “A México, 1 al 3 de Febrero de 2006.

Risk Management 38

Risk Management Risk Technical Review 2002 38

Herding Cats

MARCH 11, 2017

This quote demonstrates a lack of understanding of making decisions in the presence of uncertainty and the processes and events that create uncertainty. There is naturally occurring variability from uncontrolled processes. Aleatory uncertainty is expressed as a process variability. First, let's establish a principle.

2003 46

2003 2014 2015 2011 46

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. IEEE Transactions on Software Engineering , Vol.

Risk Management 35

Risk Management Risk Technical Review 2002 35

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

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

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

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