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Please find below a transcription of the audio portion of Fletcher Hearn’s session, Project PerformanceMeasurement – Part 1: Overview Of Project PerformanceMeasurements, being provided by MPUG for the convenience of our members. Kyle: Hello, and welcome to part one of MPUGs Project PerformanceMeasurement course.
Please find below a transcription of the audio portion of Fletcher Hearn’s session, Project PerformanceMeasurement – Part 2: What to Measure and How to Report, being provided by MPUG for the convenience of our members. Kyle: And welcome to Part 2 of MPUG’s Project PerformanceMeasurement course.
It covered identifying requirements, interconnecting tasks, resources, planned values, actual values, baselines, performancemeasures, forecast techniques and timesheets. He is a senior manager in Nexen Business Consultants as part of the Engineering group. She graduated in Mathematics and with an MBA in Global Management.
Agile softwaredevelopment is framed by a manifesto , a set of 12 principles, several methods. These are all focused on developingsoftware, delivering that software to those paying the developers. Systems Engineering. Systems Engineering looks at the big picture to make technical decisions.
Project Performance Management. Connecting the 5 Principles and 5 Practices of Performance-Based Project Management ® To Increase the Probability of Project Success. Building a Credible PerformanceMeasurement Baseline. Measures of Product Value is Exchange for Its Cost. Technical PerformanceMeasures.
If we look at the discipline of softwareengineering, we see that the microeconomics branch of economics deals more with the types of decisions we need to make as softwareengineers or managers. Softwareengineering economics." IEEE Transactions of SoftwareEngineering, 1 (1984): 4-21.
This view of the system of producing value in exchange for money ignores the principles of systems engineering. . Systems engineering is an interdisciplinary field of engineering and engineering management that focuses on how to design and manage complex systems over their life cycles. Technical PerformanceMeasures.
A critical missing component of softwaredevelopment, especially agile softwaredevelopment, and even more especially agile softwaredevelopment is the notion of a System and a System of Systems. Measures of Performance. Key Performance Parameters. Technical PerformanceMeasures.
But in technical systems - engineered technical systems - the system has to work when commanded to do so. I come to this systems domain from the Software Intensive System of Systems paradigm. This is the domain of Systems Engineering, that many times is based on the principles of Ackoff and others like him. Related articles.
Many blogs, tweets, books are spent of speaking about Value as the priority in agile softwaredevelopment. We produce Value at the end of every Sprint Value is the most important aspect of Scrum based development. In the Systems Engineering world where we work, there are four critical units of measure for all we done.
Project Performance Management (#PPM). Technical PerformanceMeasures (#TPM). Cost, Schedule, and Technical Performance Management (#CSTPM). Product Development (#ProdDev). Agile SoftwareDevelopment (#ASD). Those lessons are directly transferable to the management of softwaredevelopment teams.
engineering, IT, human resources, etc.), Earned Value Management (EVM) A systematic approach to project performancemeasurement assessing schedule and cost performance. Critical Success Factor This project management term is an essential element or condition that is vital to project success.
There a popular notions in the agile development world that authors like Hayek and Taleb speak to how softwaredevelopment works. Let's look at the thesis of Hayek in light of softwaredevelopment and the decisions that must be made when spending other people's money in the presence of uncertainty. probably not.
With execution underway, managing the risks of the project becomes our focus beyond the engineering work. Two Books in the Spectrum of SoftwareDevelopment. With all this in place - to whatever scale is appropriate for the problem at hand, we need the final pieces. Related articles. We've Been Doing This for 20 Years.
The Cone of Uncertainty is a framing assumption used to model the needed reduction in some parameter of interest in domains ranging from softwaredevelopment to hurricane forecasting. The Cone of Uncertainty as a Technical PerformanceMeasure. The Cone of Uncertainty as a Technical PerformanceMeasure.
Although I understand measuring productivity could work well for repeatable activities, it's hard to believe it works well for abstract and, ultimately, non-repeatable tasks like softwaredevelopment. Thus, the common approach to "measure productivity" is to compare the estimates against what, in fact, happened.
With these business principles of softwaredevelopment and projects in general, we can ask and answer five principles of project success. What dos Done look like in units of measure meaningful to the decision makers? Softwareengineering economics is about making decisions related to softwareengineering in a business context.
Here are three common types of PMOs from across various sectors: Supportive PMO Industry Application - A supportive PMO is common in industries where projects require flexibility and autonomy, such as IT and softwaredevelopment enterprises. Function - A supportive PMO provides guidance, best practices, templates, and tools.
Barry Boehm's work in “SoftwareEngineering Economics”. 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. The Cone is NOT the result of the project's past performance. Prentice-Hall, 1981.
Barry Boehm's work in “SoftwareEngineering 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 NOT the result of the project's past performance.
Barry Boehm's work in “SoftwareEngineering 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). There can be cost and schedule performancemeasures as well.
Barry Boehm's work in “SoftwareEngineering Economics”. 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. The Cone is NOT the result of the project's past performance. Prentice-Hall, 1981.
In the project domain, an estimate is a calculated approximation of some desired measurement. This is usually a cost, a completion date, a performancemeasure used in a closed loop control system to keep the project GREEN while delivering the needed Capabilities to produce the Value for the customer at the needed time for the needed cost.
For instance, a softwaredevelopment company that aims to be effective would focus on delivering bug-free software that provides a seamless user experience. Using the previous example, efficiency would require finding ways to speed up the softwaredevelopment process without compromising quality.
With these business principles of softwaredevelopment and projects in general, we can ask and answer five principles of project success. What dos Done look like in units of measure meaningful to the decision makers? Softwareengineering economics is about making decisions related to softwareengineering in a business context.
“Reducing Estimation Uncertainty with Continuous Assessment: Tracking the 'Cone of Uncertainty’” Pongtip Aroonvatanaporn, Chatchai Sinthop and Barry Boehm, Center for Systems and SoftwareEngineering University of Southern California , Los Angeles, CA 90089, ASE’10 , September 20–24, 2010, Antwerp, Belgium, 2010.
In softwaredevelopment, those managing the project have some understanding the market forces (from their marketing departments), the technology (from their engineering department), and how to manage in the presence of Aleatory and Epistemic risk (the managers running a successful firm). taken from [3]).
This is an immutable principle that impacts planning, execution, performancemeasures, 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. Bauman, Industrial & Engineering Chemistry , April 1958.
This always takes us back the coupling and cohesion discussion all of us who were SoftwareEngineers in the 1980's . There is no way out of this for any non-trivial softwaredevelopment project. Allen School of Computer Science SoftwareEngineering Course . This information comes from the Paul G.
You can use these four key metrics to measure the performance of a softwaredevelopment team and improve the efficiency and effectiveness of your DevOps operations overall. Sure, metrics and performancemeasurement are valuable, but what is it about DORA metrics that makes them uniquely reliable?
This always takes us back the coupling and cohesion discussion all of us who were SoftwareEngineers in the 1980's . There is no way out of this for any non-trivial softwaredevelopment project. Allen School of Computer Science SoftwareEngineering Course . This information comes from the Paul G.
Dynamic Systems Development Method (DSDM): An agile softwaredevelopment methodology that uses an iterative, incremental approach to project execution. While it's mostly used for software projects, it can also be used for non-software projects. This approach is primarily used in softwaredevelopment.
And, you know, ultimately the thing that slows softwaredevelopment down is fear of change. There’s people who know how to automate things, especially like a softwaredevelopment, and there’s people who know how to automate things. Also, review performancemeasures.
This ignores the principles of predictive analytics, and the direct management actions taken to produce outcomes from those analytical models found everywhere from project management to grocery store management and the model-based systems engineering. This approach uses past performance to predict future performance.
All making things smaller dos is show that you're late, over budget, and what you're building (Technical PerformanceMeasures) doesn't work faster. Probabilistic Risk Assessment and Management for Engineers and Scientist 2nd Edition , Ernest J. Risk Management in SoftwareDevelopment Projects , John McManus, Routledge, 2003.
Engineering. Implement/enhance performancemeasurement process – 39%. [13]. Why a Majority of Business and IT Teams Anticipate Their SoftwareDevelopment Projects Will Fail. Average Salary of Senior-Level PM by Industry: . 147,600. . Aerospace/. 116,100. . Government – Federal. 113,000. . Information/.
Melanie: Jeff is currently the Training and Development Manager for Edwards Performance Solutions. As such, he oversees the production and maintenance of courses on project management, systems engineering, softwaredevelopment, business process improvement, and cyber security. Jeff, a big MPUG welcome back.
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