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. Issues and risks management. Issues and Risks management to tackle their occurrence likelihood. Affordable plans. Risk analysis and control. Task comments.

2019 111

2019 2006 2010 Software Review 111

Herding Cats

NOVEMBER 7, 2016

“Believing is Seeing: Confirmation Bias Studies in Software Engineering, “Magne Jørgensen and Efi Papatheocharous, 41st Euromicro Conference on Software Engineering and Advanced Applications (SEAA). The Use of Precision of Software Development Effort Estimates to Communicate Uncertainty,” Magne Jørgensen, Software Quality Days.

Estimate 64

Estimate 2006 2005 2013 64

Herding Cats

MARCH 11, 2017

Our knowledge of this world - the planned and actual behaviors of the project. The naturally occurring work effort in the development of a software feature - even if we've built the feature before - is an irreducible uncertainty. Dealing with Aleatory (irreducible) uncertainty and the resulting risk requires we have margin.

2003 46

2003 2014 2015 2011 46

Herding Cats

MAY 7, 2019

Effort Distribution to Estimate Cost in Small to Medium Software Development Project with Use Case Points,” Putu Linda Primandari and Sholiq, The Third Information Systems International Conference, Procedia Computer Science, 72, pp. Monte Carlo Schedule Risk Analysis,” Intaver Institute, Inc. 61, September 2004. & Zein, S.,

Estimate 40

Estimate Software Review Software 2012 40

MPUG

JULY 23, 2020

Please find below a transcription of the audio portion of John Owen’s showcase session, Making Light Work of Schedule Risk Analysis, being provided by MPUG for the convenience of our members. Kyle: Hello, everyone, and welcome to today’s MPUG vendor showcase session, Making Light Work of Schedule Risk Analysis, presented by Barbecana.

Risk 52

Risk Software Review Estimate Underperforming Technical Team 52

MPUG

JULY 23, 2020

Please find below a transcription of the audio portion of John Owen’s showcase session, Making Light Work of Schedule Risk Analysis, being provided by MPUG for the convenience of our members. Kyle: Hello, everyone, and welcome to today’s MPUG vendor showcase session, Making Light Work of Schedule Risk Analysis, presented by Barbecana.

Risk 52

Risk Software Review Estimate Underperforming Technical Team 52

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 ? As more details get developed, the Cone converges to the actual value. IT Risk Management. Steve McConnell. Eveleens and C.

2012 48

2012 2007 2011 2010 48

Project Pulse Journal

MARCH 25, 2024

Incorporating product management concepts into project planning and execution is recommended to achieve organizational goals. They manage the project lifecycle through planning, implementation, and tracking, facing challenges like tracking risks, allocating resources, keeping projects on schedule , and maintaining communication across teams.

Sustainability 52

Sustainability Innovation Development Team Review 2024 52

Wrike

NOVEMBER 7, 2018

64% of organizations say they frequently conduct risk management. [6]. Dynamic Systems Development Method – 3%. Managing small, low-risk projects. Managing medium-size, moderate-risk projects. 66% said they choose a project management software based on level of support available. [10]. Between 2010 and 2020, 15.7

2015 60

2015 Technical Review Underperforming Technical Team Software Review 60

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.

2007 34

2007 2012 2009 2010 34

Herding Cats

AUGUST 1, 2018

One chapter on the Principles of Risk Management and the second chapter on the Practices of Risk Management. Since reducible and irreducible uncertainties create risk, those uncertainties need to be reduced as the project proceeds for the probability of project success to increase.

2012 29

2012 2007 2010 2006 29

Herding Cats

APRIL 16, 2019

Business, Technical, Systems, Risk, and Project Management Briefings and Presentations. Planning and Scheduling (#PS). Risk Management (#RM). Integrated Master Plan and Master Schedule (#IMPIMS). Agile Software Development (#ASD). Business, Technical, Systems, Risk, and Project Management.

Technical Review 42

Technical Review Performance Measurement Underperforming Technical Team Governance 42

Herding Cats

NOVEMBER 14, 2018

AHP was developed in the 1970s by Dr. Thomas Saaty. In our agile software development world, AHP is rarely found. Using this method, the performance, cost, time, and risks of alternatives can be articulated as ratios that can then be compared with one another. Risk assessment can be made with Ordinal value as well.

Technical Review 47

Technical Review 2010 2014 Software Developers 47

nTask

AUGUST 8, 2019

As the name suggests, Waterfall focuses on planning the lifecycle of the project by dividing the project into distinctive, separate and exclusive parts: In a Waterfall model, each phase must be completed before the next phase can begin. . Diagram 2: Basic Representation of a Typical Waterfall Model for Software Development.

Software Review 97

Software Review 2019 Development Team Review Technical Review 97

ProProfs Project Management

JANUARY 15, 2021

Here’s how the project kanban board looks like: Kanban technique originated from Toyota’s “just-in-time” (JIT) production system and created by Taiichi Ohno who wanted a simple planning system in place to help them manage and control the production process efficiently. However, after 1940 David J. How Kanban Works. Who Uses Kanban?

Software Review 81

Software Review Technical Review 2004 SCRUM 81

Herding Cats

JULY 24, 2017

Traditional project management approaches, several of which are based on a strong belief in the cone of uncertainty, advocate stronger project control and greater planning. While controls and planning are useful, an overly strict focus can result in attempts to solve the wrong goal. This assumes of course the Plan is credible.

2007 42

2007 2012 2006 2008 42

Herding Cats

SEPTEMBER 19, 2018

Monte Carlo simulation on projects examines all paths through the network of activities or all possible states of the project for the duration, cost, and risk that create impacts on duration and cost. Monte Carlo and Agile Development . Harrison, AIP Conference Proceedings , January 5, 2010, 1204, pp. 247, September 1949, pp.

Technical Review 43

Technical Review 2010 Estimate Software Review 43

Herding Cats

MARCH 4, 2017

This is an immutable principle that impacts planning, execution, performance measures, decision making, risk, budgeting, and overall business and technical management of the project and the business funding the project no matter the domain, context, technology or any methods. All project work operates in the presence of uncertainty.

2010 28

2010 2007 Estimate Aerospace 28

Herding Cats

JANUARY 22, 2017

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. Unanticipated technical issues with alternative plans and solutions to maintain effectiveness.

Technical Review 28

Technical Review 2005 Estimate Software Review 28

Herding Cats

JANUARY 17, 2017

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. Unanticipated technical issues with alternative plans and solutions to maintain effectiveness.

Technical Review 28

Technical Review 2005 Estimate Software Review 28

Herding Cats

FEBRUARY 4, 2017

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. Unanticipated technical issues with alternative plans and solutions to maintain effectiveness.

Technical Review 28

Technical Review Estimate 2005 Software Review 28

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. The shared planning and constant communication between team members allow for greater team flexibility. Cuts down on personnel risk and knowledge risk.

Agile 20

Agile Software Review Leadership Technical Review 20

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. Omitting impacted parties during planning was an early mistake I learned from. I led an effort to develop a risk-based software development process.

2013 28

2013 2003 Technical Review 2010 28

MPUG

SEPTEMBER 9, 2020

Satya N Dash: You have also agile record concepts coming into time management that you have a lot of additional concepts such as burn up chart, burn down chart, release planning, story map. As early as 2009, 2010, nearly 11 years before I was working as a PMO. It will have measured risks for your project. You should not do that.

Software Review 52

Software Review Critical Chain Technical Review Risk Management 52

MPUG

MAY 24, 2020

We do plan to answer those questions for you throughout the session today. I’ve been working on creating blog posts and videos and giving speeches since 2010. Raphael Santos: So software development projects they basically respond, or they are accountable for 102,000 hours out of those 122 hours.

Software Review 40

Software Review Artificial Inteligence Software Developers Software Development 40

MPUG

OCTOBER 9, 2019

If you have any questions during today’s presentation, please send those over at any time using the chat question box on the GoToWebinar control panel and we do plan to answer those for you at the end of the session today. So the diagram here, that’s kind of on the introduction here, we’ll talk about incremental plans.

Agile 40

Agile Technical Review Lean Underperforming Technical Team 40

MPUG

OCTOBER 16, 2019

We do plan to answer those for you as time permits at the end of the session today. So the idea of Microsoft Project or the new product that’s come out, they’re calling it plan one right now, you’ll hear a little bit more about that today. And we’ll go ahead and get started. What is your percent complete?

Agile 40

Agile Technical Review Software Review Engineering 40