Epicflow Blog

SEPTEMBER 19, 2022

In particular, the high level of PMM means that: Projects are delivered on time and budget; Risks and changes don’t derail projects; Projects are aligned with a company’s business objectives; The delivered output meets stakeholder expectations; A company is competitive on the market. . Let’s take a look at these levels. .

Underperforming Technical Team 52

Underperforming Technical Team Prince2 Risk Management Software Engineering 52

Teamweek

AUGUST 1, 2023

Data governance and compliance — Ensuring data is managed safely and effectively in a way that complies with global data protection regulations. There’s a fast-growing need for more data professionals in the workplace, including roles like Data Engineers, ML Engineers, Data Scientists and Data Analysts. Source 8.

Artificial Inteligence 52

Artificial Inteligence ChatGPT Engineering Logistics 52

Herding Cats

MARCH 11, 2017

The naturally occurring work effort in the development of a software feature - even if we've built the feature before - is an irreducible uncertainty. The risk is created when we have not accounted for this natural variances in our management plan for the project. An aleatory risk is expressed as a relation to a value.

2003 46

2003 2014 2015 2011 46

MPUG

MAY 14, 2021

Like all MPUG webinars, a recording of this session will be posted to mpug.com shortly after the live presentation ends, and all MPUG members can watch the recordings at any time and still be eligible to earn the PDU credit. Kyle: Do you have any questions during today’s presentation? Fletcher Hearns: Great.

Performance Measurement 59

Performance Measurement Underperforming Technical Team Software Engineering Engineering 59

Herding Cats

OCTOBER 5, 2018

Project Management Institute (PMI) [8] presents similar results about uncertainty, except that their results introduce an asymmetric cone where initial estimates vary between +75% and –25%, budgetary estimate between +25% and -10%, and the final estimate between +10% and -5%. IT Risk Management. 1, January 2011. "A 37–48, 2007.

2012 48

2012 2007 2011 2010 48

nTask

AUGUST 8, 2019

Its simplicity and ease of implementation has made it the most popular version of the systems development life cycle (SDLC) for software engineering and IT projects. Royce is attributed for the first known description of the process, the first known presentation is attributed to Herbert D. Ability to take risks.

Software Review 97

Software Review 2019 Development Team Review Technical Review 97

Herding Cats

MAY 7, 2019

Monte Carlo Schedule Risk Analysis,” Intaver Institute, Inc. Effort Estimation of Use Cases for Incremental Large-Scale Software Development,” Pareastoo Mohagheghi, Bente Anda, and Reidat Conradi, Proceedings of the 27th international conference on Software engineering. 61, September 2004. Chakraborty and K.

Estimate 40

Estimate Software Review Software 2012 40

Teamweek

NOVEMBER 9, 2022

Software developers will be relieved to find Backlog , a PM tool built solely for IT and software engineering teams. Information is presented in dashboards and is often hierarchical. Project management software types based on platform and device. Desktop vs. online PM software. Example: Backlog.

Software Review 52

Software Review Software Technical Review Construction 52

MPUG

MAY 6, 2021

Like all MPUG webinars, recording of this session will be posted to mpug.com shortly after the live presentation ends. Kyle: If you have any questions during today’s presentation, please send those over at any time using the chat question box on the go to webinar control panel. Oops, [inaudible 00:03:23].

Performance Measurement 52

Performance Measurement Underperforming Technical Team Software Review Governance 52

MPUG

JULY 16, 2021

This presentation, we’ll be discussing, monitoring and controlling requirements. Again, hopefully by the end of this presentation, you’ll be able to answer these. Well, hopefully before the end of this presentation, you’ll be able to answer those questions. Secondly, what is requirements traceability?

Monitoring 52

Monitoring Controlling Underperforming Technical Team Technical Review 52

Herding Cats

FEBRUARY 9, 2018

Estimates can be about the past, present, or future. We can estimate the total cost, total duration, and the probability that all the Features will be delivered on the program we are working for the US Government. Or ANY software project for that matter. IT Risk Management. Estimates have precision and accuracy.

Underperforming Technical Team 44

Underperforming Technical Team Estimate 2003 Software Review 44

Herding Cats

JANUARY 23, 2019

This also meant developing software systems to support this effort. We were one of the first users of eXtreme Programming, long before Scrum was around and presented that early work in 2003, " Making Agile Development Work in a Government Contracting Environment, Measuring velocity with Earned Value." . Hire someone who does.

Estimate 37

Estimate Technical Review Underperforming Technical Team Software Review 37

Herding Cats

FEBRUARY 9, 2019

This also meant developing software systems to support this effort. We were one of the first users of eXtreme Programming, long before Scrum was around and presented that early work in 2003, " Making Agile Development Work in a Government Contracting Environment, Measuring velocity with Earned Value." .

Estimate 42

Estimate Technical Review Underperforming Technical Team Software Review 42

Herding Cats

MAY 8, 2016

Uncertainty of course is present in all software development work both reducible and irreducible uncertainty. A de minimis software project rarely benefits from estimates. Governance drives processes in Agile at Scale. Governance can be ignored or even flaunted for small self contained teams. Related articles.

Estimate 28

Estimate Underperforming Technical Team Software Governance 28

Herding Cats

JANUARY 22, 2017

Barry Boehm's work in “Software Engineering Economics”. Aleatory and Epistemic uncertainties, which create the risk to the success of the project. Other uncertainties that create risk include: Unrealistic performance expectation with missing Measures of Effectiveness and Measures of Performance. Prentice-Hall, 1981.

Technical Review 28

Technical Review 2005 Estimate Software Review 28

Herding Cats

FEBRUARY 4, 2017

Barry Boehm's work in “Software Engineering Economics”. Aleatory and Epistemic uncertainties, which create the risk to the success of the project. Other uncertainties that create risk include: Unrealistic performance expectation with missing Measures of Effectiveness and Measures of Performance. Prentice-Hall, 1981.

Technical Review 28

Technical Review Estimate 2005 Software Review 28

Herding Cats

FEBRUARY 23, 2016

How to Forecast the Future - In the YouTube presentation from the previous post , titled Predicting the Future, there was a statement made about minute 9:08 where it is stated the only way that you can estimate is if you can look into the future and that requires precognition, which we don't have. Conveniently Unburdened by Evidence.

Estimate 39

Estimate Risk Management Finance Software Developers 39

MPUG

OCTOBER 15, 2020

Even the engineers, hardware engineer, software engineer, mechanical engineer. Now you’re thinking, how about mechanical engineer I just said. Agile has been- they are in software industry primarily. Then you have product quality, then risk management, then value based prioritization.

PMI 52

PMI Certification Software Review Technical Review 52

MPUG

SEPTEMBER 29, 2019

Like all MPUG webinars, a recording of this session will be posted to MPUG.com shortly after the live presentation ends and all MPUG members can watch these recordings at any time and still be eligible to earn the PDU credit. The number of software engineers is expected to triple the number of mechanical engineers this year alone.

2019 40

2019 Technical Review Software Review Engineering 40

Leading Agile

AUGUST 20, 2018

But there’s a risk that people will get excited about automation and get ahead of themselves. Including appropriate tooling in the automated CI process covers most of the remaining risks in this area. No one can check for unknown issues, even using manual methods, so no risk is introduced by automating this step.

Software Review 55

Software Review Software Technical Review Development Team Review 55