The document contains metrics collected from three iterations to measure project performance. It includes metrics on backlogs, defects injected, velocity, cost of quality, cost of non-quality, and percentage of features passing tests (RTF). Data is provided for three products - Audi A6, Falcon, and Mustang across the three iterations. Formulas, collection frequency and reporting frequency are also defined for each metric.
You are viewing presentations from conferences that I have attended. Please enjoy & if we can help you with any logistics projects in the Americas please contact me at 678.364.3475
Bill was also on the Board of Directors for the St.Vincent DePaul Foodbank in Roseville California helping with the fund raising and meals to the poor program. While based in Northern California he was successful in fund raising programs for the Crusade of Mercy and helped Father Dan Madigan at the Sacramento Food Bank also. For 2008, Bill is a member of the Board for WORKTEC on also an Advisory Board Member for Boys and Girls Club for Metro Atlanta-Clayton County Chapter. See www.worktec.biz or www.bgcma.org . Bill is also on the Board of Directors for the Southeastern Warehouse Association & represents Georgia for 2010-2012.
Regards,
Bill Stankiewicz
Vice President and General Manager
Shippers Warehouse
Email: williams@shipperswarehouse.com
www.shipperswarehousega.com
http://www.linkedin.com/in/billstankiewicz2006
http://twitter.com/BillStankiewicz
http://www.topexecutivesnet.com/index.aspx
You are viewing presentations from conferences that I have attended. Please enjoy & if we can help you with any logistics projects in the Americas please contact me at 678.364.3475
Bill was also on the Board of Directors for the St.Vincent DePaul Foodbank in Roseville California helping with the fund raising and meals to the poor program. While based in Northern California he was successful in fund raising programs for the Crusade of Mercy and helped Father Dan Madigan at the Sacramento Food Bank also. For 2008, Bill is a member of the Board for WORKTEC on also an Advisory Board Member for Boys and Girls Club for Metro Atlanta-Clayton County Chapter. See www.worktec.biz or www.bgcma.org . Bill is also on the Board of Directors for the Southeastern Warehouse Association & represents Georgia for 2010-2012.
Regards,
Bill Stankiewicz
Vice President and General Manager
Shippers Warehouse
Email: williams@shipperswarehouse.com
www.shipperswarehousega.com
http://www.linkedin.com/in/billstankiewicz2006
http://twitter.com/BillStankiewicz
http://www.topexecutivesnet.com/index.aspx
In this thought provoking paper we talk about how in the last few years since the Great Recession, organizations have attempted to
Optimize supply chain operations and position themselves for growth over the next 3-5 years. This includes tapping “low-hanging fruit”
in the optimization journey, largely in the indirect sourcing transactional services such as logistics.
Procuring “direct” material, however, seems to be a relatively untapped opportunity for organizations to continue optimizing
their supply chains. Inevitably, companies can benefit significantly more by opting for an end-to-end framework
rather than through incremental improvements to direct spend management processes.
Tulevaisuuden ostaja rakentaa kumppanuutta ja vaatii kilpailukykyä 18.9.2008
Puhujat: Harri Jokinen, Juha-Pekka Anttila, Ismo Anttila, Sami Humala, Kaj Lindh, Mauri Heikintalo, Thomas E. Vollmann, Jari Osmala, Juha Vierros
Tilaisuuden videot: http://www.youtube.com/watch?v=B3HJe6nHJAQ , http://www.youtube.com/watch?v=LsjTlzLwgTI , http://www.youtube.com/watch?v=oZ_5jbXLZvM , http://www.youtube.com/watch?v=B4ourWI2q8w
Self-Adaptive SLA-Driven Capacity Management for Internet ServicesBruno Abrahao
This work considers the problem of hosting multiple third-party Internet services in a cost-effective manner so as to maximize a provider’s business objective. For this purpose, we
present a dynamic capacity management framework based on an optimization model, which links a cost model based on SLA
contracts with an analytical queuing-based performance model, in an attempt to adapt the platform to changing capacity needs in
real time. In addition, we propose a two-level SLA specification for different operation modes, namely, normal and surge, which allows for per-use service accounting with respect to requirements of throughput and tail distribution response time. The cost model proposed is based on penalties, incurred by the provider due
to SLA violation, and rewards, received when the service level expectations are exceeded. Finally, we evaluate approximations
for predicting the performance of the hosted services under two different scheduling disciplines, namely FCFS and processor
sharing. Through simulation, we assess the effectiveness of the proposed approach as well as the level of accuracy resulting from
the performance model approximations.
Show and Tell pitch by Ivo Gormley and Mark Herbert for The Good Gym, presented during Bethnal Green Ventures pilot, Dec 2010 www.bethnalgreenventures.com
In this thought provoking paper we talk about how in the last few years since the Great Recession, organizations have attempted to
Optimize supply chain operations and position themselves for growth over the next 3-5 years. This includes tapping “low-hanging fruit”
in the optimization journey, largely in the indirect sourcing transactional services such as logistics.
Procuring “direct” material, however, seems to be a relatively untapped opportunity for organizations to continue optimizing
their supply chains. Inevitably, companies can benefit significantly more by opting for an end-to-end framework
rather than through incremental improvements to direct spend management processes.
Tulevaisuuden ostaja rakentaa kumppanuutta ja vaatii kilpailukykyä 18.9.2008
Puhujat: Harri Jokinen, Juha-Pekka Anttila, Ismo Anttila, Sami Humala, Kaj Lindh, Mauri Heikintalo, Thomas E. Vollmann, Jari Osmala, Juha Vierros
Tilaisuuden videot: http://www.youtube.com/watch?v=B3HJe6nHJAQ , http://www.youtube.com/watch?v=LsjTlzLwgTI , http://www.youtube.com/watch?v=oZ_5jbXLZvM , http://www.youtube.com/watch?v=B4ourWI2q8w
Self-Adaptive SLA-Driven Capacity Management for Internet ServicesBruno Abrahao
This work considers the problem of hosting multiple third-party Internet services in a cost-effective manner so as to maximize a provider’s business objective. For this purpose, we
present a dynamic capacity management framework based on an optimization model, which links a cost model based on SLA
contracts with an analytical queuing-based performance model, in an attempt to adapt the platform to changing capacity needs in
real time. In addition, we propose a two-level SLA specification for different operation modes, namely, normal and surge, which allows for per-use service accounting with respect to requirements of throughput and tail distribution response time. The cost model proposed is based on penalties, incurred by the provider due
to SLA violation, and rewards, received when the service level expectations are exceeded. Finally, we evaluate approximations
for predicting the performance of the hosted services under two different scheduling disciplines, namely FCFS and processor
sharing. Through simulation, we assess the effectiveness of the proposed approach as well as the level of accuracy resulting from
the performance model approximations.
Show and Tell pitch by Ivo Gormley and Mark Herbert for The Good Gym, presented during Bethnal Green Ventures pilot, Dec 2010 www.bethnalgreenventures.com
Show and Tell pitch by Hugh Garry, Patrick Sinclair and Leo Tong for Small Change, presented during Bethnal Green Ventures pilot, Dec 2010 www.bethnalgreenventures.com
ECR Europe Forum '05. Use the ECR scorecard to benchmark and improve your per...ECR Community
Use the ECR scorecard to benchmark and improve your performance:
The ECR scorecard from the Global Commerce Initiative (GCI) enables you to benchmark your supply- and demand-side collaboration against the performance of other companies. This session explains the use of the scorecard and includes a short explanation of basic ECR techniques.
By default, IBM® Rational® Performance Tester provides essential performance metrics, such as throughput, response times, concurrency, and success rate. However, it also includes several advanced features for detailed analysis, many of which are not commonly used. Proper use of these options provides deeper insight when analyzing test results. This article gives five tips for using some of these advanced features, all of which have helped tremendously in real-world performance testing projects with large companies.
Track Keynote for the Quality Management Track at the IBM Rational Software Conference 2009
Quality driven software delivery is a team sport, and every member of that team shares responsibility for enterprise quality management. This track is dedicated to the IBM Rational tools and industry best practices that can help software development teams improve the functionality, performance, and availability of complex applications. Attendees gain in-depth guidance from experienced IBM experts and customers on topics ranging from deep code analysis to system test automation and management, all enabled by the tools and capabilities in the IBM(R) Rational quality management portfolio. Learn how to work with existing resources and how to overcome schedule constraints in order to increase productivity and value to the organization while enhancing project success. This track is for testers and others on the project team - analysts, architects, developers, and deployment managers - looking for valuable, actionable information that can be used to build quality into applications from the beginning.
Return on Investment for a Design for Reliability ProgramAccendo Reliability
Last year we presented a paper on Design for Reliability (DFR), reviewing the benefits of a good DFR program and included some of the essential building blocks of DfR along with pointing out some erroneous practices that people today are using today.
We discussed a good DFR Program having the following attributes:
1. Setting Goals at the beginning of the program and then developing a plan to meet the goals.
2. Having the reliability goals being driven by the design team with the reliability team acting as mentors.
3. Providing metrics so that you have checkpoints on where you are against your goals.
4. Writing a Reliability Plan (not only a test plan) to drive your program.
A Good DFR Program must choose the best tools from each area of the product life cycle
• Identify
• Design
• Analyze
• Verify
• Validate
• Monitor and Control
The DFR Program must then integrate the tools together effectively.
Since then, we have developed a method to calculate the Return on Investment (ROI) from a Design for Reliability (DFR) program, also known as the DFR ROI. In this paper, we will discuss a method we have developed to calculate the Return on Investment (ROI) from a Design for Reliability (DFR) program, also known as the DFR ROI.
There are a number of factors involved in calculating the ROI for your DFR program, including:
1) Improved Warranty Rate (derived from your Reliability Maturity Level)
2) Current Warranty Rate
3) Cost per Repair
4) Cost of New Reliability Program
5) Savings from Losing a Customer
6) Volume
In this paper, we will show you how to calculate each of these to derive your DFR ROI.
After doing testing on multiple Agile projects, I have come to realize certain aspects about the process and techniques that are common across projects. Some things I have learned along the way, some, by reflection on the mistakes / sub-optimal things that I did.
I have written and published my thoughts around the "Agile QA Process", more particularly what techniques can be used to test effectively in the Iterations.
Most of the times I have seen the teams spending immense amount of time in mastering the mechanics than the intent.
Key to successful agile adoption is to have the agile as a team culture than just doing it
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Agile Metrics Driven Management
1. Collecting Reporting
S No Metric Business Objective Metric Category Measures to be Collected Formula UOM
Frequency Frequency
To Measure How Captured as Number Of
After Completion
Backlogs / Long Work Comments From Demo - Backlogs Demo Comments From
1 Delivery Timeliness. Number Ongoing of the Iteration
Iteration Items/Features (I.e [Enhancements will be Marked Uniquely] Product Owner
Feature Completeness
Product Debts) are
waiting in the Queue
Defects Number Of Defects Raised After Completion
Number of Defects Raised By the Product
2 Injected / Improve Quality of Iteration Quality
Test Team against the Iteration Build.
in Bugzilla against the Number Ongoing of the Iteration
Iteration Deliverables. Team Iteration Build.
Improve Productivity, After Completion
Capacity (Team Size)
3 Velocity Improve Cost Productivity
Delivered Quantity (User Stories/ Taks)
(Delivered/Capacity)*100 of the Iteration
Effectiveness
% On Going
It contains three components viz
Prevention cost – Training
To meet Delivery, (Product/Technology/Process). Captured as Effort After Completion
Cost Of
4 Quality and Cost of ROI Appraisal Cost * - Testing & Review. Expressed as % of Total % Ongoing of the Iteration
Quality the Project for ROI Failure cost – Rework Effort
2. Improve Cost
Effectiveness by
continuously
reducing the
Overheads/Obstacles
Examples:
1. Business Value
Captured as Effort After Completion
Cost Of Added or Reduce Effort Spent in Handling/Addressing/Solving
5 Expressed as % of Total % Ongoing of the Iteration
NonQuality Nonnegotiable Waste Overheads/Impediments the Overheads and Obstacles
Effort
like Setting Up
System etc and
2. Minimizing Non-
Value Added or pure
waste like waiting
long for
Clarrifications etc
The RTF metric
RTF - shows, at every
moment in the Readiness For a Number Of Features
Running Number of Features/User Stories Passing
6 project, how many Potentially Shippable Passing Tests / Total % Ongoing Daily
Tested the Acceptance Tests For the Iteration
features are passing Product Number Of Features *100
Features all their acceptance
tests.
3. Mode of
Notes Tools
Consolidation
1. Rationale is to measure Commited Vs Delivered
User Story Completeness.
By Iteration /
2. New Enhancements (Demo Commenets) even Excel/Wiki
Phase
though Captured as part of the Iteration Backlogs
shall be Marked Uniquely.
Using Bugzilla - By
Defects that are Injected During the Iteration
By Iteration / Asking Tester to
Development is Key & Defects that are not Related
Phase Use the Keyword
Should be Captured separately at Product level.
against the Build
As On Date
Change in Template
&
Of Burndown Chart
Consolidated By
Capturing Velocity
Iteration / Phase
Consolidated By
Clarity
Iteration / Phase
4. Aggregate of time, money, and opportunity cost
Consolidated By losses resulting from doing things wrong. CONQ is
Excel
Iteration / Phase estimated by time taken to fix a
Defect/Overheads/Obstacles by Total Effort.
The desired software is broken down into named
features which are part of what it means to deliver
As On Date the desired system.
& For each named feature, there are one or more
Excel
Consolidated By automated acceptance tests which, when they
Iteration / Phase work, will show that the feature in question is
implemented.
5. S No Metric Data Notes
Acceptence Criteria Met.
1 Backlogs / Iteration 1
Change Request
2 Defects Injected / Iteration NA Product Testing has not Started
3 Velocity- By Story Points 44 Normalized Story Points
Under Control
4 Cost Of Quality 24%
[Acceptable Range: 20% to 28%]
Closely Monitor
5 Cost Of NonQuality 13%
[Acceptable Range: < 8%]
6 RTF - Running Tested Features 100% JUnit & Manual Integration Tests