This document outlines the key stages in the V-model systems engineering process model. It begins with interpreting user needs and environmental constraints to develop system functional specifications and a verification plan at System Requirements Review. Then at Preliminary Design Review, the functional specifications are evolved into design specifications and verification plans for each component. Component and system level design, testing, verification and validation activities are then carried out at various stages like Critical Design Review, Test Readiness Review, System Verification Review and Post Deployment Review to demonstrate the system meets requirements.
Notes on IT programmatic risk in 5 not so easy piecesGlen Alleman
Risk management in the IT business is similar to risk management most domains. Here's a starting point for understanding the steps needed to manage risk
This document outlines the key steps in project management including organizing the work breakdown structure and organizational structure, planning and setting budgets by scheduling work and identifying costs, accounting by recording costs in the WBS and OBS, analyzing variances periodically, and maintaining revisions to data and budgets by controlling changes.
The document discusses integrating agile software development methods with Earned Value Management (EVM) for Department of Defense IT programs over $20 million. It notes that EVM is required for these programs per federal regulations. The speaker aims to convince the audience that EVM can be a good thing for agile software projects and helps ensure they comply with directives to use incremental development approaches. The document provides context on challenges with traditional software development and regulations requiring EVM for large IT programs.
Managing risk with deliverables planningGlen Alleman
This document discusses managing risk through continuous risk management (CRM). It introduces the five principles of risk management and outlines the CRM process, which includes identifying risks, analyzing and prioritizing them, planning mitigations, tracking mitigation progress and risks, making decisions based on risk data, and communicating throughout the project. The presentation provides examples of risk statements, evaluation criteria, classification approaches, and integrating risks and mitigation plans into project schedules. The goal of CRM is to continually identify, assess, and mitigate risks to improve project outcomes.
This document outlines the key stages in the V-model systems engineering process model. It begins with interpreting user needs and environmental constraints to develop system functional specifications and a verification plan at System Requirements Review. Then at Preliminary Design Review, the functional specifications are evolved into design specifications and verification plans for each component. Component and system level design, testing, verification and validation activities are then carried out at various stages like Critical Design Review, Test Readiness Review, System Verification Review and Post Deployment Review to demonstrate the system meets requirements.
Notes on IT programmatic risk in 5 not so easy piecesGlen Alleman
Risk management in the IT business is similar to risk management most domains. Here's a starting point for understanding the steps needed to manage risk
This document outlines the key steps in project management including organizing the work breakdown structure and organizational structure, planning and setting budgets by scheduling work and identifying costs, accounting by recording costs in the WBS and OBS, analyzing variances periodically, and maintaining revisions to data and budgets by controlling changes.
The document discusses integrating agile software development methods with Earned Value Management (EVM) for Department of Defense IT programs over $20 million. It notes that EVM is required for these programs per federal regulations. The speaker aims to convince the audience that EVM can be a good thing for agile software projects and helps ensure they comply with directives to use incremental development approaches. The document provides context on challenges with traditional software development and regulations requiring EVM for large IT programs.
Managing risk with deliverables planningGlen Alleman
This document discusses managing risk through continuous risk management (CRM). It introduces the five principles of risk management and outlines the CRM process, which includes identifying risks, analyzing and prioritizing them, planning mitigations, tracking mitigation progress and risks, making decisions based on risk data, and communicating throughout the project. The presentation provides examples of risk statements, evaluation criteria, classification approaches, and integrating risks and mitigation plans into project schedules. The goal of CRM is to continually identify, assess, and mitigate risks to improve project outcomes.
Planning projects usually starts with tasks and milestones. The planner gathers this information from the participants – customers, engineers, subject matter experts. This information is usually arranged in the form of activities and milestones. PMBOK defines “project time management” in this manner. The activities are then sequenced according to the projects needs and mandatory dependencies.
Increasing the Probability of Project SuccessGlen Alleman
This document discusses principles and practices for increasing the probability of project success by managing risk from uncertainty. It defines risk as the effect of uncertainty on objectives. There are two types of uncertainty - epistemic (reducible) and aleatory (irreducible). Risk from epistemic uncertainty can be reduced through work on the program, while risk from aleatory uncertainty requires establishing margins. The document argues that effective risk management is needed to deliver capabilities on time and budget by identifying risks, understanding their interactions and impacts, and implementing risk handling strategies. This increases the likelihood of project success by preventing problems, improving quality, enabling better resource use, and promoting teamwork.
Process Flow and Narrative for Agile+PPMGlen Alleman
This document describes how an organization integrates agile software development practices with earned value management (EVM) to provide program status updates. It outlines a process that begins with developing a rough order of magnitude estimate of features needed. These features are then prioritized, mapped to a product roadmap and product backlog. Stories are developed from features and estimated, and tasks are estimated in hours. Physical percent complete data from tasks in Rally is used to calculate EVM metrics to inform stakeholders.
This document discusses principles of effective risk management for projects. It emphasizes the importance of clearly defining requirements and success criteria before releasing requests for proposals. This includes quantifying measures of effectiveness and performance for different use scenarios. Effective risk management also requires developing a funded implementation plan informed by historical risks and uncertainties. The document outlines key data and processes needed to reduce risks and increase the probability of a project's success, including defining requirements, developing plans and schedules, identifying risks and adjustments needed to plans. It discusses uncertainties from both known and unknown sources that can impact cost, schedule and performance.
Cost and schedule growth for complex projects is created when unrealistic technical performance expectations, unrealistic cost and schedule estimates, inadequate risk assessments, unanticipated technical issues, and poorly performed and ineffective risk management, contribute to project technical and programmatic shortfalls
From Principles to Strategies for Systems EngineeringGlen Alleman
From Principles to Strategies How to apply Principles, Practices, and Processes of Systems Engineering to solve complex technical, operational,
and organizational problems
Building a Credible Performance Measurement BaselineGlen Alleman
The document discusses establishing a credible Performance Measurement Baseline (PMB) for programs by integrating technical and programmatic plans. It recommends starting with a Work Breakdown Structure (WBS) that identifies system elements, associated risks, and processes to produce outcomes. An Integrated Master Plan (IMP) should then define how system elements mature at Program Events, with Measures of Effectiveness (MOEs) and Measures of Performance (MOPs) assigned. Finally, an Integrated Master Schedule (IMS) should arrange tasks to increase technical maturity, identify reducible and irreducible risks, and establish a risk-adjusted PMB to increase the probability of program success. Connecting these elements through the WBS, IMP and IMS
Integrated master plan methodology (v2)Glen Alleman
The document describes a methodology for developing an Integrated Master Plan (IMP). It outlines five conditions an IMP must meet, five steps in the development process, five common questions about IMP development, five common mistakes, and provides five templates/samples for key IMP sections. The methodology is intended to help program and project teams create effective IMPs that integrate execution plans and align with contractual requirements.
Capabilities‒Based Planning the capabilities needed to accomplish a mission or fulfill a business strategy
Only when capabilities are defined can we start with requirements elicitation
Starting with the development of a Rough Order of Magnitude (ROM) estimate of work and duration, creating the Product Roadmap and Release Plan, the Product and Sprint Backlogs, executing and statusing the Sprint, and informing the Earned Value Management Systems, using Physical Percent Complete of progress to plan.
Program Management Office Lean Software Development and Six SigmaGlen Alleman
Successfully combining a PMO, Agile, and Lean / 6 starts with understanding what benefit each paradigm brings to the table. Architecting a solution for the enterprise requires assembling a “Systems” with processes, people, and principles – all sharing the goal of business improvement.
This resource document describes the Program Governance Road map for product development, deployment, and sustainment of products and services in compliance with CMS guidance, ITIL IT management, CMMI best practices, and other guidance to assure high quality software is deployed for sustained operational success in mission critical domains.
The document discusses the development of an Integrated Master Plan (IMP) as the basis for an Integrated Master Schedule (IMS) for a program. It outlines a 6-step process for developing the IMP and IMS that includes understanding requirements, developing a product structure, forming integrated product teams, creating the IMP, creating the IMS, and developing the basis of estimate. It describes artifacts like the product tree, work breakdown structure, statement of work, and their relationships. It also outlines responsibilities of the program management team, integrated product team leads, and program planning and controls.
Planning projects usually starts with tasks and milestones. The planner gathers this information from the participants – customers, engineers, subject matter experts. This information is usually arranged in the form of activities and milestones. PMBOK defines “project time management” in this manner. The activities are then sequenced according to the projects needs and mandatory dependencies.
Increasing the Probability of Project SuccessGlen Alleman
This document discusses principles and practices for increasing the probability of project success by managing risk from uncertainty. It defines risk as the effect of uncertainty on objectives. There are two types of uncertainty - epistemic (reducible) and aleatory (irreducible). Risk from epistemic uncertainty can be reduced through work on the program, while risk from aleatory uncertainty requires establishing margins. The document argues that effective risk management is needed to deliver capabilities on time and budget by identifying risks, understanding their interactions and impacts, and implementing risk handling strategies. This increases the likelihood of project success by preventing problems, improving quality, enabling better resource use, and promoting teamwork.
Process Flow and Narrative for Agile+PPMGlen Alleman
This document describes how an organization integrates agile software development practices with earned value management (EVM) to provide program status updates. It outlines a process that begins with developing a rough order of magnitude estimate of features needed. These features are then prioritized, mapped to a product roadmap and product backlog. Stories are developed from features and estimated, and tasks are estimated in hours. Physical percent complete data from tasks in Rally is used to calculate EVM metrics to inform stakeholders.
This document discusses principles of effective risk management for projects. It emphasizes the importance of clearly defining requirements and success criteria before releasing requests for proposals. This includes quantifying measures of effectiveness and performance for different use scenarios. Effective risk management also requires developing a funded implementation plan informed by historical risks and uncertainties. The document outlines key data and processes needed to reduce risks and increase the probability of a project's success, including defining requirements, developing plans and schedules, identifying risks and adjustments needed to plans. It discusses uncertainties from both known and unknown sources that can impact cost, schedule and performance.
Cost and schedule growth for complex projects is created when unrealistic technical performance expectations, unrealistic cost and schedule estimates, inadequate risk assessments, unanticipated technical issues, and poorly performed and ineffective risk management, contribute to project technical and programmatic shortfalls
From Principles to Strategies for Systems EngineeringGlen Alleman
From Principles to Strategies How to apply Principles, Practices, and Processes of Systems Engineering to solve complex technical, operational,
and organizational problems
Building a Credible Performance Measurement BaselineGlen Alleman
The document discusses establishing a credible Performance Measurement Baseline (PMB) for programs by integrating technical and programmatic plans. It recommends starting with a Work Breakdown Structure (WBS) that identifies system elements, associated risks, and processes to produce outcomes. An Integrated Master Plan (IMP) should then define how system elements mature at Program Events, with Measures of Effectiveness (MOEs) and Measures of Performance (MOPs) assigned. Finally, an Integrated Master Schedule (IMS) should arrange tasks to increase technical maturity, identify reducible and irreducible risks, and establish a risk-adjusted PMB to increase the probability of program success. Connecting these elements through the WBS, IMP and IMS
Integrated master plan methodology (v2)Glen Alleman
The document describes a methodology for developing an Integrated Master Plan (IMP). It outlines five conditions an IMP must meet, five steps in the development process, five common questions about IMP development, five common mistakes, and provides five templates/samples for key IMP sections. The methodology is intended to help program and project teams create effective IMPs that integrate execution plans and align with contractual requirements.
Capabilities‒Based Planning the capabilities needed to accomplish a mission or fulfill a business strategy
Only when capabilities are defined can we start with requirements elicitation
Starting with the development of a Rough Order of Magnitude (ROM) estimate of work and duration, creating the Product Roadmap and Release Plan, the Product and Sprint Backlogs, executing and statusing the Sprint, and informing the Earned Value Management Systems, using Physical Percent Complete of progress to plan.
Program Management Office Lean Software Development and Six SigmaGlen Alleman
Successfully combining a PMO, Agile, and Lean / 6 starts with understanding what benefit each paradigm brings to the table. Architecting a solution for the enterprise requires assembling a “Systems” with processes, people, and principles – all sharing the goal of business improvement.
This resource document describes the Program Governance Road map for product development, deployment, and sustainment of products and services in compliance with CMS guidance, ITIL IT management, CMMI best practices, and other guidance to assure high quality software is deployed for sustained operational success in mission critical domains.
The document discusses the development of an Integrated Master Plan (IMP) as the basis for an Integrated Master Schedule (IMS) for a program. It outlines a 6-step process for developing the IMP and IMS that includes understanding requirements, developing a product structure, forming integrated product teams, creating the IMP, creating the IMS, and developing the basis of estimate. It describes artifacts like the product tree, work breakdown structure, statement of work, and their relationships. It also outlines responsibilities of the program management team, integrated product team leads, and program planning and controls.