Epicflow Blog

SEPTEMBER 19, 2022

Do you know your organization’s project management maturity level? If not, it’s high time to change the situation: project management maturity has a direct impact on a company’s competitiveness and business success. . What is project management maturity exactly, and how to define its level?

Underperforming Technical Team 52

Underperforming Technical Team Prince2 Risk Management Software Engineering 52

Herding Cats

MARCH 11, 2017

Uncertainty is related to three aspects of the management of projects: The external world - the activities of the project itself. Our knowledge of this world - the planned and actual behaviors of the project. The risk is created when we have not accounted for this natural variances in our management plan for the project.

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Herding Cats

MAY 7, 2019

The reason for this resource page is the lack of understanding of how to estimate, the urban myths about software estimating, and the fallacies that estimating is not needed, when developing software, in the presence of uncertainty, when spending other peoples money. Flint, School of Management, Working Paper Series, September 2005.”.

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Estimate Software Review Software 2012 40

Teamweek

AUGUST 1, 2023

Some of the most important data analyst skills include data analysis, statistical programming languages, data management, data visualization, good communication skills, machine learning and even Excel skills. Predictive analytics — Using predictive data models to forecast trends and patterns for more accurate planning.

Artificial Inteligence 52

Artificial Inteligence ChatGPT Engineering Logistics 52

MPUG

MAY 14, 2021

Please send those over at any time using the chat question box on the “go to webinar” control panel where we do plan to answer those questions for you throughout the session today. We are a project management consulting company in the Baltimore Washington area. We’ll go ahead and jump back in for session two here.

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Performance Measurement Underperforming Technical Team Software Engineering Engineering 59

Teamweek

DECEMBER 8, 2023

For example, hiring managers admit that they hire the wrong person in 74% of cases. they have the skills needed to succeed in a tech-focused manager-level position and their employer isn’t using those skills effectively). If you fail to mention those soft skills in the job listing, you risk attracting a poor hire.

Technical Review 52

Technical Review Underperforming Technical Team Software Review Artificial Inteligence 52

Herding Cats

MAY 19, 2017

As well we made estimates of what information will be produced after spending the customers (in most cases the government is the customer) money. Quantitative Software Management (QSM). Q/P Management Group. Software Benchmarking Organization. Software Engineering Institute (SEI). IT Risk Management.

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Estimate Governance Government Software Engineering 36

Herding Cats

NOVEMBER 7, 2016

Estimating is a learned skill, used for any purpose from every-day life to management of projects. 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. 8, August 1995.

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Teamweek

NOVEMBER 9, 2022

Whether you’re a small team of freelancers or a large agency, your company needs a project management tool that fits your processes like a glove. Before choosing a specific tool though, you need to decide on the type of project management software you need. Types of project management software based on the use case.

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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. Optimism bias - a cognitive bias that causes a person to believe that they are at a lesser risk of experiencing a negative event compared to others. These principles originate in: .

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Transportation Software Engineering Finance 2011 39

nTask

AUGUST 8, 2019

We did an extensive analysis of various factors that influence waterfall project management. This helped us to simplify how nTask project management software can be used for solving such issues. Waterfall is a popular SDLC project management model. What Do You Need to Know about Waterfall Oriented Project Management?

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Herding Cats

OCTOBER 5, 2018

The beginning of all business critical software development projects is the point in time when performing organizations are least certain about the project, yet it is also the time when top management expects to be delivered project estimates that are very precise. As more details get developed, the Cone converges to the actual value.

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Teamweek

JUNE 13, 2023

In the world of HR, this is how hiring managers describe ideal candidates – those that tick all the boxes. In fact, hiring managers use ICPs to create better job descriptions and improve their sourcing strategies and, ultimately, the quality of hire. Think of a data analyst, and a customer service representative, or manager.

Technical Review 52

Technical Review 2025 Software Engineering Defining 52

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. Optimism bias - a cognitive bias that causes a person to believe that they are at a lesser risk of experiencing a negative event compared to others. These principles originate in: .

Transportation 28

Transportation Software Engineering Finance 2011 28

Herding Cats

AUGUST 27, 2017

It lists the usual suspects for why those spending the money think they don't have to estimate how much they plan to spend when they'll be done producing the value they've been assigned to produce for that expenditure. When might we finish with the planned work? What might it cost to finish the planned work?

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Estimate Software Review Underperforming Technical Team Technical Review 46

Herding Cats

JANUARY 13, 2017

Barry Boehm's work in “Software Engineering Economics”. The Cone is a project management framework describing the uncertainty aspects of estimates or any other project attribute. Aleatory and Epistemic uncertainties, which create risk to the success of the project. The Programmatic Management of the project.

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Herding Cats

JULY 29, 2017

Better have a plan to reduce technical and programmatic uncertainty (both of which have aleatory and epistemic behaviours respectively) at a planned rate, for a planned cost, on a planned time. Or plan on being late, over budget, and reduced probability of technical success, before you start. IT Risk Management.

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Cadence Software Engineering Estimate Manufacturing 28

Herding Cats

JANUARY 23, 2019

There's been a rash of conjectures about all kinds of bad business, project, and software development (agile and traditional) management ideas of late. This also meant developing software systems to support this effort. Rarely are software engineers working on science experiments. Complexity Primer (Sandia).

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Herding Cats

FEBRUARY 9, 2019

There's been a rash of conjectures about all kinds of bad business, project, and software development (agile and traditional) management ideas of late. This also meant developing software systems to support this effort. Define the risks - reducible and irreducible - to each Capability and their Features.

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Estimate Technical Review Underperforming Technical Team Software Review 42

Herding Cats

DECEMBER 8, 2017

I work in a domain where the CoU is baked into the Integrated Program Performance Management (IPPM) processes flowed down from the buyer, in this case, the Federal Government. The CoU is a build-to paradigm, where measures of the program's performance cumulative to date is used to inform the risk for future performance.

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MPUG

MAY 6, 2021

We do plan to answer your questions throughout the session today. Fletcher is also one of the leading trainers at Edwards in various aspects of project management and the use of project management tools. I actually got my degree in software engineering and moved up into project management like a lot of us did back in the day.

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Performance Measurement Underperforming Technical Team Software Review Governance 52

Herding Cats

JUNE 7, 2018

The Design Structure Matrix (DSM) method, was introduced by Steward in for task-based system modeling and initially used for planning issues. Risk interaction within systems and subsystems, between functional and physical elements, can also be modeled with DSM. Traditional risk models cannot model loops. The DSM allows self?loops

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Herding Cats

JANUARY 22, 2017

Barry Boehm's work in “Software Engineering Economics”. 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). The Cone IS the Planned reduction of uncertainty as the project proceeds.

Technical Review 28

Technical Review 2005 Estimate Software Review 28

Herding Cats

JANUARY 14, 2017

Barry Boehm's work in “Software Engineering Economics”. The Cone is a project management framework describing the uncertainty aspects of estimates or any other project attribute (in this post, cost, schedule, and technical performance parameters). A critical success factor for all project work is Risk Management.

Technical Review 28

Technical Review Software Review Underperforming Technical Team Risk Management 28

Herding Cats

JANUARY 17, 2017

Barry Boehm's work in “Software Engineering Economics”. 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). The Cone IS the Planned reduction of uncertainty as the project proceeds.

Technical Review 28

Technical Review 2005 Estimate Software Review 28

Herding Cats

FEBRUARY 4, 2017

Barry Boehm's work in “Software Engineering Economics”. 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 done by active risk management, through probabalistic decision-making.

Technical Review 28

Technical Review Estimate 2005 Software Review 28

Herding Cats

JUNE 7, 2018

The Design Structure Matrix (DSM) method, was introduced by Steward in for task-based system modeling and initially used for planning issues. Risk interaction within systems and subsystems, between functional and physical elements, can also be modeled with DSM. Traditional risk models cannot model loops. The DSM allows self?loops

Underperforming Technical Team 28

Underperforming Technical Team SCRUM Software Engineering Risk Management 28

Herding Cats

MAY 8, 2016

is not founded on any principle of business management, microeconomics of decision making, or principles of probability and statistics. Managing a business profitably is always hard work. A de minimis software project rarely benefits from estimates. Willfully bad management rarely benefits from learning how to estimate.

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Estimate Underperforming Technical Team Software Governance 28

Herding Cats

MARCH 9, 2017

My early metrics book, Controlling Software Projects: Management, Measurement, and Estimation (Prentice Hall/Yourdon Press, 1982) , played a role in the way many budding software engineers quantified work and planned their projects. […] The book’s most quoted line is its first sentence: “You can’t control what you can’t measure.”

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Software Engineering Estimate 2015 Engineering 31

Herding Cats

JUNE 19, 2017

Uncertainty creates Risk. Risk management requires active reduction of risk. Management of this reduction work and measurement of the progress is a Close Loop Control System paradigm. These activities, their releationships and values are defined in a PLAN for increasing the probability of success for the project.

Technical Review 35

Technical Review Performance Measurement Underperforming Technical Team Estimate 35

Herding Cats

FEBRUARY 9, 2018

Here's an extract from "Chapter 8: Human Behavior and Complexity," Terry Cooke-Davies, in Aspects of Complexity: Managing Projects in a Complex World. This is a cautionary tale for those listening to the #NoEstimates advocates, where anecdotes of bad management are used in an attempt to replace established principles of business management.

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Underperforming Technical Team Estimate 2003 Software Review 44

MPUG

JULY 16, 2021

Welcome to the final part of my three-part series on project requirements management. What is the requirements management baseline? And I think the reason being is that along the way, in this requirements management process, there was not an appropriate traceability and monitoring process set up.

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Monitoring Controlling Underperforming Technical Team Technical Review 52

Herding Cats

JULY 28, 2017

This was my starting point for becoming a software engineer rather than a physicist, by the way. . Our management misuses information we provide them. IT Risk Management. If you start with the end in mind and go looking for data to support that end, you're going to end up with egg on your face. .

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Estimate Engineering Software Engineering Manufacturing 37

Herding Cats

FEBRUARY 23, 2016

It has many good concepts, one serious math error, and connects well with how we manage and work billion dollar programs. No Estimates Mean Better Estimates? - Value at Risk means how much money and time are you willing to risk without understanding how much time and money is at risk. Software Estimating Taxonomy.

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Estimate Risk Management Finance Software Developers 39

MPUG

OCTOBER 15, 2020

Satya is a management professional, speaker, coach and author of six books, including the book I Want To Be An ACP. So, first thing it is coming from PMI, which is Project Management Institute, a body for project management related certification based in the US. All right, we’ll go ahead and begin. A number of tools.

PMI 52

PMI Certification Software Review Technical Review 52

Leading Agile

NOVEMBER 29, 2023

Our new COO, Philippe Bonneton, and Mike Cottmeyer sit down to discuss the challenges associated with moving monolithic legacy applications into the cloud and how an iterative and incremental change model can help you plan out a cloud migration and ensure success. You start selling software licenses, you disrupt the whole way of selling.

Technical Review 62

Technical Review Software Review Engineering Infrastructure 62

Leading Agile

NOVEMBER 29, 2023

Our new COO, Philippe Bonneton, and Mike Cottmeyer sit down to discuss the challenges associated with moving monolithic legacy applications into the cloud and how an iterative and incremental change model can help you plan out a cloud migration and ensure success. You start selling software licenses, you disrupt the whole way of selling.

Technical Review 62

Technical Review Software Review Engineering Infrastructure 62