Herding Cats

MARCH 17, 2019

Applying Deliverables Based Planning ® To Increase Our Probability of Success , PMI Fort Worth, Chapter Meeting, 15 July 2010. Agile Software Development for Government Software Intensive System of Systems (SISoS) , Boulder Agile Meetup, 27 July 2016. How to Develop Credible Cost & Schedule Estimate.

2003 54

2003 2011 2008 Performance Measurement 54

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 ? Steve McConnell. Quantifying IT Forecast Quality,” J. Eveleens and C. GAO Cost Estimating and Assessment Guide," GAO-09-3SP.

2012 48

2012 2007 2011 2010 48

nTask

NOVEMBER 23, 2018

Introduced in 2006, with a major redesign in 2010, the platform serves as a single systematic and flexible solution for all the task management needs of a team. Considered a #1 software chosen by agile teams for software development, Jira makes a pretty strong contender for Smartsheet. Light and user-friendly interface.

2019 111

2019 2006 2010 Software Review 111

Herding Cats

MARCH 11, 2017

Our perception of this world - the data and information we receive about these behaviors. This assumption can be from the lack of data - an ontological uncertainty. Epistemic uncertainty can also occur when there is a subjective evaluation of the system - a risk from a rare event or an event with little or no empirical data.

2003 46

2003 2014 2015 2011 46

Herding Cats

MAY 10, 2019

255, April 2010. Project risk management: lessons learned from software development environment,” Young Hoon Kwak and Jim Stoddard,” Technovation , 24(11), pp. 24, 2010. “A Kadane, and Anthony O’Hagan, Carnegie Mellon University, Statistics & Data Science, January 5, 2005. 920, November 2004. Kwak and J.

Risk Management 38

Risk Management Risk Technical Review 2002 38

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. So here's the outcome.

2012 29

2012 2007 2010 2006 29

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. 255, April 2010. 24, 2010. “A Kwak and J.

Risk Management 35

Risk Management Risk Technical Review 2002 35

Herding Cats

DECEMBER 3, 2017

Seems there is still some confusion (intentional or accidental) about the Cone of Uncertainty and its purpose and its use in software development. The Cone does NOT need data to validate the principle of reducing unc as the program progresses. That is an Immutable Principle of good project management. This letter states.

2007 34

2007 2012 2009 2010 34

Wrike

NOVEMBER 7, 2018

The data and statistics below are sorted into categories so you can quickly skim to find the information you need. Project Management Software & Tools. 77% of companies use project management software, and 87% of high-performing companies use project management software. [5]. Re-entering lost data: 45%.

2015 60

2015 Technical Review Underperforming Technical Team Software Review 60

Wrike

MAY 23, 2023

I joined the team as a QAA engineer in 2010, the first employee in this role. Together, we have developed a unique quality control system for Wrike, our lovely project management platform, allowing us to deploy product code to production more quickly and without bugs. Hello, everyone! I’m Alexander, and I’m a QAA manager at Wrike.

Engineering 36

Engineering Underperforming Technical Team Controlling Software Review 36

Project Pulse Journal

MARCH 25, 2024

A software development team may use dashboards showing alternative solutions, connected marketing strategies, user personas, customer problems, or frameworks prioritizing features based on data, user stories, and the existing product. Sustainable living plan 2010 to 2020: Summary of 10 years’ progress. 2020, May).

Sustainability 52

Sustainability Development Team Review Innovation 2024 52

Herding Cats

JULY 24, 2017

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. While the data supports some aspects of the cone of uncertainty, it doesn’t support the most common conclusion that uncertainty significantly decreases as the project progresses.

2007 42

2007 2012 2006 2008 42

Herding Cats

SEPTEMBER 19, 2018

This approach allows you to model systems in the future using past data OR using models of what the future might be if the system hasn't been done before. This probability distribution can be built from past data for similar work, like the PDFs shown above, which have different shapes depending on the type of work.

Technical Review 43

Technical Review 2010 Estimate Software Review 43

Herding Cats

JANUARY 20, 2018

But in the software development world, the domains of IT, there are two other colors of money. There are two types of software that are developed for a business: 1) internal-use software, and 2) software developed to be sold, leased or marketed (“software to be sold”). CAPEX and OPEX.

Software 38

Software 2006 Software Developers Software Development 38

Herding Cats

APRIL 16, 2019

Agile Software Development (#ASD). Those lessons are directly transferable to the management of software development teams. Parametric Project Monitoring and Control - Earned Value is an approach to Performance measurement for monitoring and controlling the progress of software development projects.

Technical Review 42

Technical Review Performance Measurement Underperforming Technical Team Governance 42

Herding Cats

MARCH 4, 2017

If the actual data is outside the Cone of Uncertainty, then the project was subject to some cause. If we have models, informed by empirical data, that out risk-adjusted cost and schedule is credible, then we're late, over budget, and the deliverables won't likely meet our needs on day one. Four sample causes are shown below. .

2010 28

2010 2007 Estimate Aerospace 28

Herding Cats

NOVEMBER 5, 2018

The time average of task completion delay (for the Whole Project) will always be higher (data suggests ~60%) than the ensemble average single task averages) because (at least) ensemble average delays downplays #Blackswans. Software Development execution and modeling is Microeconomics not Macro. The thread goes on to say.

Software Review 34

Software Review Technical Review Estimate Software Developers 34

MPUG

MAY 24, 2020

I’ve been working on creating blog posts and videos and giving speeches since 2010. And they will interactively expose the organization’s data to a public, to an audience. And essentially, it lets users visualize their data across multiple dimensions. Some of them are going to be really close to what we see.

Software Review 40

Software Review Artificial Inteligence Software Developers Software Development 40

Wrike

AUGUST 14, 2020

Anderson is often credited as being the first to implement Kanban in software development in 2005. His book on Kanban , published in 2010, is still one of the most comprehensive resources out there for technology-focused projects. You can input project data once and then manage it in whichever format you prefer.

Software Review 36

Software Review Technical Review 2005 SCRUM 36

Herding Cats

JANUARY 22, 2017

This is the paradigm of the Cone of Uncertainty - it's a planned development compliance engineering tool, not an after the fact data collection tool. I have data that shows that uncertainty (or any other needed attribute) doesn't reduce and therefore the COU is a FAKE. ASE’10, September 20–24, 2010, Antwerp, Belgium. . [8]

Technical Review 28

Technical Review 2005 Estimate Software Review 28

Herding Cats

JANUARY 17, 2017

This is the paradigm of the Cone of Uncertainty - it's a planned development compliance engineering tool, not an after the fact data collection tool. I have data that shows that uncertainty (or any other needed attribute) doesn't reduce and therefore the COU is a FAKE. ASE’10, September 20–24, 2010, Antwerp, Belgium. . [8]

Technical Review 28

Technical Review 2005 Estimate Software Review 28

Project Management Hacks

AUGUST 4, 2016

Through many discussions with my husband – who works in software development – I discovered an interest in the technology field. In 2003, I managed a project to set up a new customer at my company’s data center. I led an effort to develop a risk-based software development process.

2013 28

2013 2003 Technical Review 2010 28

Herding Cats

FEBRUARY 4, 2017

This is the paradigm of the Cone of Uncertainty - it's a planned development compliance engineering tool, not an after the fact data collection tool. I have data that shows that uncertainty (or any other needed attribute) doesn't reduce and therefore the COU is a FAKE. ASE’10, September 20–24, 2010, Antwerp, Belgium. . [8]

Technical Review 28

Technical Review Estimate 2005 Software Review 28

Workzone

APRIL 30, 2020

In 2010 daPulse, created by Wix.com , joined the vast array of project management tools on the market, and in 2017, daPulse went through a transformation to become Monday.com. Designed to come across as colorful and friendly, Monday aims to help you kick your case of the Monday blues through the use of its software.

2020 38

2020 Software Review Technical Review Software 38

Runrun.it

OCTOBER 1, 2019

The concept originated from software development companies, who found the traditional method of project and workflow management was stifling in many situations. In effect, it’s easier to transfer information, knowledge, and other kinds of data; plus the team retains any important learnings that they can apply to the next project.

Agile 20

Agile Software Review Leadership Technical Review 20

MPUG

OCTOBER 9, 2019

And so this is where agile kind of fits in and isn’t just necessarily only for software development. And remember, agile is kind of born out of the need for technical project management or in many cases, software development. But it is clearly not limited to just software.

Agile 40

Agile Technical Review Lean Underperforming Technical Team 40

MPUG

SEPTEMBER 9, 2020

Satya N Dash: In addition to that, I have seen management practitioners when they create a plan, they make a lot of mistakes, without any software tool, in this case Microsoft Project. As early as 2009, 2010, nearly 11 years before I was working as a PMO. And of course, you need the scheduled data. One is a software developer.

Software Review 52

Software Review Critical Chain Technical Review Risk Management 52

MPUG

JULY 23, 2020

He has extensive experience of both project management, and software development. Previous positions have included VP of development for Welcom, senior director for product management at Deltek, and manager for computerized project management at Worley engineering. .” A lot of organizations mandate the use of triangular.

Risk 52

Risk Software Review Estimate Underperforming Technical Team 52

MPUG

JULY 23, 2020

He has extensive experience of both project management, and software development. Previous positions have included VP of development for Welcom, senior director for product management at Deltek, and manager for computerized project management at Worley engineering. .” A lot of organizations mandate the use of triangular.

Risk 52

Risk Software Review Estimate Underperforming Technical Team 52

MPUG

OCTOBER 16, 2019

If you understand how the engineering Teams are structured, there’s a lot more fluidity between say dynamics and some of the things that are happening there, and the things called common data service. And then we’ll let the Teams unpack that or bring in the data from different data sources. That is great.

Agile 40

Agile Technical Review Software Review Engineering 40