This document discusses using earned value management (EVM) to increase the probability of program success (PoPS). It begins by introducing the core concepts of EVM and how they can be used to measure cost, schedule, and technical performance in a way that considers the underlying statistical nature of programs. The document explores putting EVM "intent" into practice by establishing performance baselines and metrics that incorporate variability and uncertainty. It suggests EVM can only provide useful forecasts if physical percent complete is measured at a detailed work package level and rolled up, including confidence intervals. The document argues current EVM practice oversimplifies complex programs and outcomes could be more "naive" if natural variations are ignored. It concludes EVM should focus more on
Forecasting cost and schedule performanceGlen Alleman
For credible decisions to be made, we need confidence intervals on all the numbers we use to make decisions.
These confidence intervals come from the underlying statistics and the related probabilities.
Statistical forecasting, using time series analysis of past performance, is mandatory for any credible discussion of project performance in the future.
How To Build A Credible Performance Measurement Baselineguest9da059
IPM 2009 Conference briefing. The Performance Measurement Baseline is the project controls vehicle that connects Cost, Schedule, and Technical Performance in a single database.
Introduction to monte-carlo analysis for software development - Troy Magennis...Troy Magennis
Forecasting and managing software development project risks & uncertainty. Monte-carlo analysis is the tool of choice for managing risk in many fields where risk is an inherent part of doing business. This paper examines how to use monte-carlo techniques to understand and leverage risk in Software Development projects and teams.
Monte Carlo Simulation for Agile DevelopmentGlen Alleman
Managing in the presence of uncertainty requires making decisions with models of that uncertainty. Monte Carlo Simulation and related approaches are the basis of making informed decisions in the presence of uncertainty
Performance-Based Project Management® id s deliverables based approach to project success. Deliverables start with the needed capabilities that the project produces to meet the mission objectives or fulfill a business case.
These deliverables fulfill the requirements, assessed through Measures of Effectiveness and Measures of Performance
Forecasting cost and schedule performanceGlen Alleman
For credible decisions to be made, we need confidence intervals on all the numbers we use to make decisions.
These confidence intervals come from the underlying statistics and the related probabilities.
Statistical forecasting, using time series analysis of past performance, is mandatory for any credible discussion of project performance in the future.
How To Build A Credible Performance Measurement Baselineguest9da059
IPM 2009 Conference briefing. The Performance Measurement Baseline is the project controls vehicle that connects Cost, Schedule, and Technical Performance in a single database.
Introduction to monte-carlo analysis for software development - Troy Magennis...Troy Magennis
Forecasting and managing software development project risks & uncertainty. Monte-carlo analysis is the tool of choice for managing risk in many fields where risk is an inherent part of doing business. This paper examines how to use monte-carlo techniques to understand and leverage risk in Software Development projects and teams.
Monte Carlo Simulation for Agile DevelopmentGlen Alleman
Managing in the presence of uncertainty requires making decisions with models of that uncertainty. Monte Carlo Simulation and related approaches are the basis of making informed decisions in the presence of uncertainty
Performance-Based Project Management® id s deliverables based approach to project success. Deliverables start with the needed capabilities that the project produces to meet the mission objectives or fulfill a business case.
These deliverables fulfill the requirements, assessed through Measures of Effectiveness and Measures of Performance
Forecasting cost and schedule performanceGlen Alleman
For credible decisions to be made, we need confidence intervals on all the numbers we use to make decisions.
These confidence intervals come from the underlying statistics and the related probabilities.
Statistical forecasting, using time series analysis of past performance, is mandatory for any credible discussion of project performance in the future.
5 immutable principles of project success (v2)(notes)Glen Alleman
5 Immutable principles of project success applied to the Rocky Flats Environmental Technology Site (RFETS) describing how the nations largest nuclear weapons plants was closed using Measures of effectiveness, Measures of Performance and Technical Performance Measures.
Managing Deploymemt of ERP Systems in the Publishing DomainGlen Alleman
Managing the outcome of an ERP deployment is difficult at best. There are many obstacles to success, the least of which is the basic understanding that accepting an ERP system into a business is a significant disruptive event. This document describes the processes and activities involved in deploying ERP. The contributions of a consulting firm can significantly add to the
probability of success. In the newspaper business domain, the successful deployment of an ERP system not only impacts the back office and financial operations, but also the editorial,
advertising and press operations. ERP is a mission critical function of any modern newspaper and must be treated as such.
Starting with an EIA–748–C compliant Earned Value Management System, integrating an Agile Software Development Lifecycle (Agile) is straightforward when there is a Bright Line between the Performance Measurement Baseline (PMB) and the Sprints and Tasks of the Agile Software Development Process.
This briefing is an overview of the probabilistic risk analysis processes that can be applied to our program. Although it may not appear to be a “simple” overview, this material is the tip of the iceberg of this complex topic.
Just schedule analysis has been addressed in detail here. The cost aspects of forecasting and simulation must be addressed as well to complete the connections between schedule and cost.
Probabilistic cost will be surveyed here, but an in depth review is for a later time.
Making Agile Development work in Government ContractingGlen Alleman
Before any of the current “agile” development
methods, Earned Value Management provided information
for planning and controlling complex projects by
measuring how much “value” was produced for a given
cost in a period of time. One shortcoming of an agile
development method is its inability to forecast the future
cost and schedule of the project beyond the use of “yesterdays
weather” metrics. These agile methods assume
the delivered value, “velocity” in the case of XP, is compared
with the estimated value – this is a simple comparison
between budget and actual cost resulting in a Cost
Variance.
The naturally occurring uncertainties (Aleatory) in cost, schedule, and technical performance can be modeled in a Monte Carlo Simulation tool. The Event Based uncertainties (Epistemic) require capture, modeling of their impacts, defining handling strategies, modeling the effectiveness of these handling efforts, and the residual risks, and their impacts of both the original risk and the residual risk on the program.
Earned Value Management Meets Big DataGlen Alleman
The Earned Value Management System (EVMS) maintains period–by–period data in its underlying databases. The contents of the Earned Value repository can be considered BIG DATA, characterized by three attributes – 1) Volume: Large amounts of data; 2) Variety: data comes from different sources, including traditional data bases, documents, and complex records; 3) Velocity: the content is continually being updated by absorbing other data collections, through previously archived data, and through streamed data from external sources.
With this time series information in the repository, analysis of trends, cost and schedule forecasts, and confidence levels of these performance estimates can be calculated using statistical analysis techniques enabled by the Autoregressive Integrated Moving Average (ARIMA) algorithm provided by the R programming system. ARIMA provides a statistically informed Estimate At Completion (EAC) and Estimate to Complete (ETC) to the program in ways not available using standard EVM calculations. Using ARIMA reveals underlying trends not available through standard EVM reporting calculations.
With ARIMA in place and additional data from risk, technical performance and the Work Breakdown Structure, Principal Component Analysis can be used to identify the drivers of unanticipated EAC.
Five Immutable Principles of Project of Digital Transformation SuccessGlen Alleman
Successful Digital Transformation projects are fraught with technical, cost, and schedule risks.
These Five Principles of Project Success have been shown to increase the Probability of Project Success (PoPS).
Risk Management is essential for the success of any significant project. Information about key project cost, performance, and schedule attributes is often unknown until the project is underway.
Probabilistic Schedule and Cost AnalysisGlen Alleman
An overview of the probabilistic risk analysis processes that can be applied to a program. Although it may not appear to be a “simple” overview, this material is the tip of the iceberg of this complex topic.
Just schedule analysis has been addressed in detail here. The cost aspects of forecasting and simulation must be addressed as well to complete the connections between schedule and cost.
Probabilistic cost will be surveyed here, but an in depth review is for a later time.
Project Management Class ( based on PMBOK) - Day 6Highmark Health
Day 6 - Learn the basics of project management in this 6 day course taught by Joe DiFalco, PMP, PMI-ACP, CSPO, Systems Engineer. This course covers the 5 process groups and the 47 project management processes grouped into 10 knowledge areas: Project Integration Management, Project Scope Management, Project Time Management, Project Cost Management, Project Quality Management, Project Human Resources Management, Project Communications Management, Project Risk Management, Project Procurement Management and Project Stakeholder Management.
Project Management Class ( based on PMBOK) - Day 1Highmark Health
Day 1 - Learn the basics of project management in this 6 day course taught by Joe DiFalco, PMP, PMI-ACP, CSPO, Systems Engineer. This course covers the 5 process groups and the 47 project management processes grouped into 10 knowledge areas: Project Integration Management, Project Scope Management, Project Time Management, Project Cost Management, Project Quality Management, Project Human Resources Management, Project Communications Management, Project Risk Management, Project Procurement Management and Project Stakeholder Management.
Forecasting cost and schedule performanceGlen Alleman
For credible decisions to be made, we need confidence intervals on all the numbers we use to make decisions.
These confidence intervals come from the underlying statistics and the related probabilities.
Statistical forecasting, using time series analysis of past performance, is mandatory for any credible discussion of project performance in the future.
5 immutable principles of project success (v2)(notes)Glen Alleman
5 Immutable principles of project success applied to the Rocky Flats Environmental Technology Site (RFETS) describing how the nations largest nuclear weapons plants was closed using Measures of effectiveness, Measures of Performance and Technical Performance Measures.
Managing Deploymemt of ERP Systems in the Publishing DomainGlen Alleman
Managing the outcome of an ERP deployment is difficult at best. There are many obstacles to success, the least of which is the basic understanding that accepting an ERP system into a business is a significant disruptive event. This document describes the processes and activities involved in deploying ERP. The contributions of a consulting firm can significantly add to the
probability of success. In the newspaper business domain, the successful deployment of an ERP system not only impacts the back office and financial operations, but also the editorial,
advertising and press operations. ERP is a mission critical function of any modern newspaper and must be treated as such.
Starting with an EIA–748–C compliant Earned Value Management System, integrating an Agile Software Development Lifecycle (Agile) is straightforward when there is a Bright Line between the Performance Measurement Baseline (PMB) and the Sprints and Tasks of the Agile Software Development Process.
This briefing is an overview of the probabilistic risk analysis processes that can be applied to our program. Although it may not appear to be a “simple” overview, this material is the tip of the iceberg of this complex topic.
Just schedule analysis has been addressed in detail here. The cost aspects of forecasting and simulation must be addressed as well to complete the connections between schedule and cost.
Probabilistic cost will be surveyed here, but an in depth review is for a later time.
Making Agile Development work in Government ContractingGlen Alleman
Before any of the current “agile” development
methods, Earned Value Management provided information
for planning and controlling complex projects by
measuring how much “value” was produced for a given
cost in a period of time. One shortcoming of an agile
development method is its inability to forecast the future
cost and schedule of the project beyond the use of “yesterdays
weather” metrics. These agile methods assume
the delivered value, “velocity” in the case of XP, is compared
with the estimated value – this is a simple comparison
between budget and actual cost resulting in a Cost
Variance.
The naturally occurring uncertainties (Aleatory) in cost, schedule, and technical performance can be modeled in a Monte Carlo Simulation tool. The Event Based uncertainties (Epistemic) require capture, modeling of their impacts, defining handling strategies, modeling the effectiveness of these handling efforts, and the residual risks, and their impacts of both the original risk and the residual risk on the program.
Earned Value Management Meets Big DataGlen Alleman
The Earned Value Management System (EVMS) maintains period–by–period data in its underlying databases. The contents of the Earned Value repository can be considered BIG DATA, characterized by three attributes – 1) Volume: Large amounts of data; 2) Variety: data comes from different sources, including traditional data bases, documents, and complex records; 3) Velocity: the content is continually being updated by absorbing other data collections, through previously archived data, and through streamed data from external sources.
With this time series information in the repository, analysis of trends, cost and schedule forecasts, and confidence levels of these performance estimates can be calculated using statistical analysis techniques enabled by the Autoregressive Integrated Moving Average (ARIMA) algorithm provided by the R programming system. ARIMA provides a statistically informed Estimate At Completion (EAC) and Estimate to Complete (ETC) to the program in ways not available using standard EVM calculations. Using ARIMA reveals underlying trends not available through standard EVM reporting calculations.
With ARIMA in place and additional data from risk, technical performance and the Work Breakdown Structure, Principal Component Analysis can be used to identify the drivers of unanticipated EAC.
Five Immutable Principles of Project of Digital Transformation SuccessGlen Alleman
Successful Digital Transformation projects are fraught with technical, cost, and schedule risks.
These Five Principles of Project Success have been shown to increase the Probability of Project Success (PoPS).
Risk Management is essential for the success of any significant project. Information about key project cost, performance, and schedule attributes is often unknown until the project is underway.
Probabilistic Schedule and Cost AnalysisGlen Alleman
An overview of the probabilistic risk analysis processes that can be applied to a program. Although it may not appear to be a “simple” overview, this material is the tip of the iceberg of this complex topic.
Just schedule analysis has been addressed in detail here. The cost aspects of forecasting and simulation must be addressed as well to complete the connections between schedule and cost.
Probabilistic cost will be surveyed here, but an in depth review is for a later time.
Project Management Class ( based on PMBOK) - Day 6Highmark Health
Day 6 - Learn the basics of project management in this 6 day course taught by Joe DiFalco, PMP, PMI-ACP, CSPO, Systems Engineer. This course covers the 5 process groups and the 47 project management processes grouped into 10 knowledge areas: Project Integration Management, Project Scope Management, Project Time Management, Project Cost Management, Project Quality Management, Project Human Resources Management, Project Communications Management, Project Risk Management, Project Procurement Management and Project Stakeholder Management.
Project Management Class ( based on PMBOK) - Day 1Highmark Health
Day 1 - Learn the basics of project management in this 6 day course taught by Joe DiFalco, PMP, PMI-ACP, CSPO, Systems Engineer. This course covers the 5 process groups and the 47 project management processes grouped into 10 knowledge areas: Project Integration Management, Project Scope Management, Project Time Management, Project Cost Management, Project Quality Management, Project Human Resources Management, Project Communications Management, Project Risk Management, Project Procurement Management and Project Stakeholder Management.
Project Management Class ( based on PMBOK) - Day 5Highmark Health
Day 5 - Learn the basics of project management in this 6 day course taught by Joe DiFalco, PMP, PMI-ACP, CSPO, Systems Engineer. This course covers the 5 process groups and the 47 project management processes grouped into 10 knowledge areas: Project Integration Management, Project Scope Management, Project Time Management, Project Cost Management, Project Quality Management, Project Human Resources Management, Project Communications Management, Project Risk Management, Project Procurement Management and Project Stakeholder Management.
The Basis of Estimate is the starting point for Closed Loop Control project management.
How much will it cost? When will we be done? What is going to be delivered for that cost and time?
These are random numbers "estimated" by a variety of means.
But the BOEs are the "steering targets" for the closed loop ocntrol system
Project Management Class ( based on PMBOK) - Day 4Highmark Health
Day 4 - Learn the basics of project management in this 6 day course taught by Joe DiFalco, PMP, PMI-ACP, CSPO, Systems Engineer. This course covers the 5 process groups and the 47 project management processes grouped into 10 knowledge areas: Project Integration Management, Project Scope Management, Project Time Management, Project Cost Management, Project Quality Management, Project Human Resources Management, Project Communications Management, Project Risk Management, Project Procurement Management and Project Stakeholder Management.
Project Management Class ( based on PMBOK) - Day 2Highmark Health
Day 2 - Learn the basics of project management in this 6 day course taught by Joe DiFalco, PMP, PMI-ACP, CSPO, Systems Engineer. This course covers the 5 process groups and the 47 project management processes grouped into 10 knowledge areas: Project Integration Management, Project Scope Management, Project Time Management, Project Cost Management, Project Quality Management, Project Human Resources Management, Project Communications Management, Project Risk Management, Project Procurement Management and Project Stakeholder Management.
Project Management Class ( based on PMBOK) - Day 3Highmark Health
Day 3 - Learn the basics of project management in this 6 day course taught by Joe DiFalco, PMP, PMI-ACP, CSPO, Systems Engineer. This course covers the 5 process groups and the 47 project management processes grouped into 10 knowledge areas: Project Integration Management, Project Scope Management, Project Time Management, Project Cost Management, Project Quality Management, Project Human Resources Management, Project Communications Management, Project Risk Management, Project Procurement Management and Project Stakeholder Management.
How To Build A Credible Performance Measurement BaselineGlen Alleman
IPM 2009 presentation. The Performance Measurement Baseline is the collection of the Cost, Schedule, and Technical Performance Measures for the program - used to make management decisions.
This is a familiar topic to all in the project management business. We usually start our project management quest with capturing requirements, building a schedule to deliver them, executing that schedule, and making adjustments along the way when we’re not staying on schedule.
Five immutable principles of project successGlen Alleman
All successful projects adhere to five immutable principles during their lifecycle. These principles are independent of any project or program domain or context in that domain. They are also independent of any project management or product development method as well, including Agile. They ask five questions that must have credible answers that establish the foundation for success. Without credible answers to these 5 questions, the project has little hope of success.
Earned Value Management Meets Agile Development. Starting with Earned Value, the principles of Agile have a one-for-one connection between 11 EV criteria and 12 principles of Agile
There are four major questions that need answers when applying agile software development to DOD development programs
1. How can Agile Development methods increase the Probability of Program Success (PoPS) on Earned Value programs?
2. How can Agile development be integrated with the FAR / DFAR and OMB mandates for program performance measures using Earned Value?
3. What are the “touch” points (or possible collision points) between Agile and EIA-748-C?
4. What are the measures of success for Agile methods in the context of EIA-748-C?
IS EARNED VALUE + AGILE A MATCH MADE IN HEAVEN?
Increasing the Probability of Program Success requires by connecting the dots between EV and Agile Development.
Presented at
The Nexus of Agile Software Development and
Earned Value Management, OSD-PARCA,
February 19 – 20, 2015
Institute for Defense Analysis, Alexandria, VA
Walkthroughs of all key implementation tasks.
Tips on data migration, user training and more
Customizable project planning sheet.
Implementing ERP is hard work – may be the hardest work you will do in your career. That is an example of a truism from the first group. It is inescapable. “You need a solid implementation plan” falls into the second group. You can choose to accept or ignore it, but that does not change its truth. Ignoring key implementation steps does not doom you to certain failure, just as not everyone who smokes gets lung cancer. But accepting all of them and acting accordingly will guarantee that you have an implementation that you will be proud of, and look back on as some of your best work.
The 5 Immutable principles of project managementGlen Alleman
Software development methods are sometimes confused with Project Management principles. There are 5 irreducible principles used to manage projects, no matter the domain or context. We need to assure our development work is guided by these 5 Project Management principles.
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 Success with Five Principles and PracticesGlen Alleman
There are many approaches to managing projects in every domain.
This seminar lays the foundations for increasing the probability of project success, no matter the domain, what technology, what approach to delivering the outcomes of the project.
The principles of this approach are immutable.
The practices for implementing the principles are universally applicable.
Each chart in this presentation, contains guidance that can be applied to your project, no matter the domain.
In our short hour here, we’re going to cover a lot of material.
The bibliography contains the supporting materials we can tailor to your individual project
Question and Answers from - A benefits management framework for prioritising programmes webinar
Monday 17 February 2020
presented by:
Dr Hugo Minney
The link to the write up page and resources of this webinar:
https://www.apm.org.uk/news/a-benefits-management-framework-for-prioritising-programmes-webinar/
This supports the APM publication “A guide to using a benefits management framework” and takes participants through the implementation process:
https://www.apm.org.uk/book-shop/a-guide-to-using-a-benefits-management-framework/
Presentation slides:
https://www.slideshare.net/assocpm/a-benefits-management-framework-for-prioritising-programmes-webinar-17-february-2020
Increasing the Probability of Project SuccessGlen Alleman
Risk Management is essential for development and production programs. Information about key cost, performance and schedule attributes are often uncertain or unknown until late in the program.
Risk issues that can be identified early in the program, which may potentially impact the program, termed Known Unknowns, can be alleviated with good risk management. -- Effective Risk Management 2nd Edition, Page 1, Edmund Conrow, American Institute of Aeronautics and Astronautics, 2003
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
Establishing a credible Performance Measurement Baseline, with a risk adjusted Integrated Master Plan and Integrated Master Schedule, starts with the WBS and connects Technical Measures of progress to Earned Value
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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
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Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
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29. The completion of the Performance Measurement is necessary but not sufficient. As participants in the
Earned Value community there is sometime the notion that having a PMB is all that is needed. The
PMB is necessary, but not sufficient. The sufficient attributes are:
PMB i b t t ffi i t Th ffi i t tt ib t
Identification of the needed system capabilities – if we don’t know what the system is supposed to
do from the technical or business mission point of view, then the PMB can not be credible. Because
not matter the accuracy of the PMB or the proper representation of the work package sequencing, or
the labor spreads, if the PMB describes the wrong work, then the result will be disappointing.
Only after there is a clear and concise description of the needed technical or mission capabilities –
usually in the form of a Concept of Operations (ConOps) and supporting systems engineering models
usually in the form of a Concept of Operations (ConOps) and supporting systems engineering models
– can the technical, operational, programmatic, and business requirements be developed.
These two sources form the raw material for the Performance Measurement Baseline (PMB). All
ConOps elements must flow down in a properly structured “tree” to requirements. The
Requirements must properly flow down to a Work Breakdown Structure (WBS) to properly describe
the deliverables. Only then can the PMB be developed. An Integrated Master Plan / Integrated
Master Schedule (IMP/IMS) paradigm should be used to structure the PMB, no matter the size of the
program.
The program then needs to be executed
All these activities must be performed inside the context of continuous risk management
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30. Translating System Capabilities into System Requirements begins with the a narrative description of the
needed Capabilities. This sounds like a tautology – a Chicken or the Egg problem. But discovering the
system requirements is difficult in the absence of some higher level description of the needed
system requirements is difficult in the absence of some higher level description of the needed
“Capabilities” of the desired system.
The concept of a “Capability” is a capacity or potential [Davis]:
Provided by a set of resources and abilities, To achieve a measureable result, In performing a
particular task, Under specific conditions, To specific performance standards
One approach to capturing the system capabilities is:
Start with the customers understanding the current and future operational needs of their system
Aligning those needs with industry standards and trends
Translating the needs into system capabilities in the form of system requirements specification or a
Concept of Operations. The Systems Requirements Specification is not the same as a Technical
Requirements Specification.
Establish a high–level system concept to identify system components and their interfaces
Guide the Integrated Product and Process Development (IPPD) Teams, mentoring, and working with
providers of system components (both custom built and COTS) to ensure they adhere to the overall
system view
t i
Work with the customer to identify and mitigate technical risks through a structured Risk
Management process at the Systems Requirements level
Verify each system capability through a System Integration and Qualification Test Plan
Work with the customer to develop a Fielding and Product Support Plan of the delivered system
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32. The Performance Measurement Baseline (PMB) is the primary assessment document for assuring the
credibility of a project plan. The PMB is the baseline of the cost, schedule and deliverables for each
Work Package (WP) in the plan.
W kP k (WP) i th l
Constructing the PMB requires knowledge of the system requirements, skill in developing the WPs that
produce the deliverables for these requirements, and discipline in assembling the cost, schedule and
relationships between the WPs. It is the discipline that requires the most focus for the planners and
project controls staff. Without this discipline, the development of a credible baseline is simply not
possible.
In the end the planners and project controls staff must “know” in intimate detail each WP, its
I th d th l d j t t l t ff t “k ” i i ti t d t il h WP it
deliverables and resource requirements, the performance measurement criteria and the dependencies
that form the critical path through the project schedule. The concept of a Deliverables Based Plan
(DBP) is at the core of the Performance Measurement Baseline (PMB).
Deliverables are the units of measure of progress to plan.
Deliverables are what the customer has paid money for.
Deliverables contain the system capabilities, the associated value that fulfill the requirements of the
li bl i h bili i h i d l h f lfill h i f h
master plan
The first critical success factor in building the Performance Measurement Baseline (PMB) is the
decomposition of the system requirements into technical capabilities, then into deliverables that
enable those technical capabilities, and finally into the WPs that produce those deliverables.
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33. The focus of the Performance Measurement Baseline execution steps is to physically assess the
progress of the program in units reflecting the progress using the three independent variables:
C t
Cost
Schedule
Technical Performance
The traditional Earned Value Management approach uses three data sources, the budget (or
planned) expenditures (BCWS), the actual expenditures (ACWP), and the Earned Value (BCWP)
captured from the Control Account or Work Package Manager’s. The comparison of budget versus
actual expenditures indicates what was planned to be spent versus what was actually spent at any
p p p y p y
given time. The use of Earned Value (BCWP) indicates what was produced for that expenditure.
With this approach the use of physical percent complete for the amount of work performed is a
starting point. It does not indicate anything about the conformance to specification of the work
produced for the amount of money spent.
By adding Technical Performance Measures (TPM) to the analysis of Earned Value Management, the
program manager can assess the actual progress of the program. Non–compliance with the planned
Technical Performance Measures dilutes the Earned Value proportionally. This dilution is in the form of:
Technical Performance Measures dilutes the Earned Value proportionally This dilution is in the form of:
Rework of non–compliant deliverables
Deferred work not completed during the planned period of performance
With the period of performance complete, the unused funds – if any – are used to adjust the Earned
Value (BCWP) to reflect the unfinished or deferred work.
If the work is deferred and there is remaining funds, a change order is issued to move the funding.
If the work is non–compliant and the funding is exhausted, a dilution of BCWP is needed to reflect
the true Earned Value
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34. Let’s review. These processes represent a sequence of activities that increase the maturity of the
programmatic aspects of a project or program.
The plans that result from these efforts describe the increasing maturity of the product or services
Th l th t lt f th ff t d ib th i i t it f th d t i
that are the deliverables from the project.
In order to develop and execute a Plan, a set of requirements is needed. Before these requirements
can be developed, an understanding of the system capabilities should be developed.
1. Identify Business Needs ‐ Define the set of capabilities needed to achieve the program objectives or
a particular end state for a specific scenario using the Concept of Operations (ConOps). CONOPs is a
verbal or graphic statement, in broad outline, of an assumption or intent in regard to an operation
g p , , p g p
or series of operations, mission, or system.
2. Establish Requirements Baseline – defines the technical , organizational, and operational
requirements that must be in place for the system capabilities to be fulfilled. Define these
requirements in terms isolated from the implementation details. Only then, bind these
requirements with the technical alternatives.
3. Establish Performance Measurement Baseline – build a time‐phased network of scheduled activities
describing the work to be performed, the budgeted cost for this work, and the organizational
describing the work to be performed the budgeted cost for this work and the organizational
elements that produce the deliverables from this work. Define the technical performance measures
showing how this work proceeds according to the technical and programmatic plan.
4. Execute the Performance Measurement Baseline – execute the Performance Measurement Baseline
Work Packages, while assuring all performance assessments represent measures of Physical Percent
Complete.
5. Continuous Risk Management – identify, plan, and budget risk mitigation or retirement activities at
assure impediments to progress are handled.
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35. Principles are the source of guidance for Practices .
A principle is a “general truth, a law on which other are founded or from which others are derived.”
[Webster]
For the principles of program and project management to be effective they must :
Express a basic concept
Be universally applicable
Be capable of straightforward expression
Be self evident
The 10 Principles of Deliverables Based Planningsm guide the application of the four process areas.
These principles encompass the entire life cycle of a project or program, from inception and the
discovery of the business or system capabilities, through requirements elicitation, to the creation of the
Performance Measurement Baseline (PMB), to the execution of this baseline.
The principles provide several feedback loops to assure that subsequent activities provide measurable
information to correct gaps that exist in the previous activities. This iterative and incremental approach
to program management assures the periods of assessment for corrective actions are appropriately
spaced to minimize risk while maximizing the delivered value to the program.
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