Suche senden
Hochladen
Building Process Improvement Business Cases Using Bayesian Belief Networks and Monte Carlo Simulation - SEPG NA 2009 - Ben linders
•
1 gefällt mir
•
2,951 views
Ben Linders
Folgen
Business
Melden
Teilen
Melden
Teilen
1 von 46
Jetzt herunterladen
Downloaden Sie, um offline zu lesen
Empfohlen
Reaching Business Goals with Value Adding CMMI Assessments, Ben Linders, Euro...
Reaching Business Goals with Value Adding CMMI Assessments, Ben Linders, Euro...
Ben Linders
Controlling Project during Development with a Defect Model, Ben Linders, Euro...
Controlling Project during Development with a Defect Model, Ben Linders, Euro...
Ben Linders
Experiences with Data Feedback - Better Software 2004 - Ben Linders
Experiences with Data Feedback - Better Software 2004 - Ben Linders
Ben Linders
Experiences using Root Cause Analysis for Improvement, Ben Linders, European ...
Experiences using Root Cause Analysis for Improvement, Ben Linders, European ...
Ben Linders
Controlling Project Performance using PDM - PSQT2005 - Ben Linders
Controlling Project Performance using PDM - PSQT2005 - Ben Linders
Ben Linders
Controlling Project during Development with a Defect Model, Ben Linders, ICST...
Controlling Project during Development with a Defect Model, Ben Linders, ICST...
Ben Linders
The Business Benefit of Root Cause Analysis, Ben Linders, SM/ASM Conference 2003
The Business Benefit of Root Cause Analysis, Ben Linders, SM/ASM Conference 2003
Ben Linders
Business Focused CMMI at Ericsson, Ben Linders, SPIder 2001
Business Focused CMMI at Ericsson, Ben Linders, SPIder 2001
Ben Linders
Empfohlen
Reaching Business Goals with Value Adding CMMI Assessments, Ben Linders, Euro...
Reaching Business Goals with Value Adding CMMI Assessments, Ben Linders, Euro...
Ben Linders
Controlling Project during Development with a Defect Model, Ben Linders, Euro...
Controlling Project during Development with a Defect Model, Ben Linders, Euro...
Ben Linders
Experiences with Data Feedback - Better Software 2004 - Ben Linders
Experiences with Data Feedback - Better Software 2004 - Ben Linders
Ben Linders
Experiences using Root Cause Analysis for Improvement, Ben Linders, European ...
Experiences using Root Cause Analysis for Improvement, Ben Linders, European ...
Ben Linders
Controlling Project Performance using PDM - PSQT2005 - Ben Linders
Controlling Project Performance using PDM - PSQT2005 - Ben Linders
Ben Linders
Controlling Project during Development with a Defect Model, Ben Linders, ICST...
Controlling Project during Development with a Defect Model, Ben Linders, ICST...
Ben Linders
The Business Benefit of Root Cause Analysis, Ben Linders, SM/ASM Conference 2003
The Business Benefit of Root Cause Analysis, Ben Linders, SM/ASM Conference 2003
Ben Linders
Business Focused CMMI at Ericsson, Ben Linders, SPIder 2001
Business Focused CMMI at Ericsson, Ben Linders, SPIder 2001
Ben Linders
Target Value Design Workshop Intro
Target Value Design Workshop Intro
Murray Guy
Earthling project success 0218
Earthling project success 0218
Eric Landmann
Izenbridge pmp-qualitymanagementtoolsv2-130815231627-phpapp01
Izenbridge pmp-qualitymanagementtoolsv2-130815231627-phpapp01
Chalamaiah Vadlamudi
Stephen "Steve" Muzzy Memphis Schools Presentation
Stephen "Steve" Muzzy Memphis Schools Presentation
steve muzzy
Webinar: Process Improvement in Government Using Lean Six Sigma
Webinar: Process Improvement in Government Using Lean Six Sigma
GoLeanSixSigma.com
Make Your Payroll Selection and Implementation a Success
Make Your Payroll Selection and Implementation a Success
Net at Work
Lean Six sigma Black Belt Training Part 6
Lean Six sigma Black Belt Training Part 6
Lean Insight
Business Case for BA's PMs
Business Case for BA's PMs
Brian Fariss
Introduction to Lean Transformation
Introduction to Lean Transformation
Amanda Gilmore
SUCCESS STORY: Streamlining the Architectural, Engineering and Professional (...
SUCCESS STORY: Streamlining the Architectural, Engineering and Professional (...
GoLeanSixSigma.com
Improving The Delivery Supply Chain: How A Start Up Became a Global Player
Improving The Delivery Supply Chain: How A Start Up Became a Global Player
Edward Byers, PMP, SSGB
PDCA for Lean Service Design
PDCA for Lean Service Design
Business901
Agile Balanced Scorecard -Agile Tour 2011 Pune
Agile Balanced Scorecard -Agile Tour 2011 Pune
Asheesh Mehdiratta
Why Most IT Projects Fail
Why Most IT Projects Fail
Calen Legaspi
Why Most IT Projects Fail
Why Most IT Projects Fail
calenlegaspi
SUCCESS STORY: Reducing Hiring Time From 10 Months to 36 Days
SUCCESS STORY: Reducing Hiring Time From 10 Months to 36 Days
GoLeanSixSigma.com
Daily continuous improvement program safety culture at the front line
Daily continuous improvement program safety culture at the front line
Canadian Patient Safety Institute
Toyota’s Management System Tools and Behaviours
Toyota’s Management System Tools and Behaviours
Lean Enterprise Academy
PROJECT STORYBOARD: Project Storyboard: Reducing Underwriting Resubmits by Ov...
PROJECT STORYBOARD: Project Storyboard: Reducing Underwriting Resubmits by Ov...
GoLeanSixSigma.com
DennisPovallResume
DennisPovallResume
Dennis Povall
Dynamic Bayesian modeling for risk prediction in credit operations (SCAI2015)
Dynamic Bayesian modeling for risk prediction in credit operations (SCAI2015)
AMIDST Toolbox
Bayesian statistics
Bayesian statistics
Sagar Kamble
Weitere ähnliche Inhalte
Was ist angesagt?
Target Value Design Workshop Intro
Target Value Design Workshop Intro
Murray Guy
Earthling project success 0218
Earthling project success 0218
Eric Landmann
Izenbridge pmp-qualitymanagementtoolsv2-130815231627-phpapp01
Izenbridge pmp-qualitymanagementtoolsv2-130815231627-phpapp01
Chalamaiah Vadlamudi
Stephen "Steve" Muzzy Memphis Schools Presentation
Stephen "Steve" Muzzy Memphis Schools Presentation
steve muzzy
Webinar: Process Improvement in Government Using Lean Six Sigma
Webinar: Process Improvement in Government Using Lean Six Sigma
GoLeanSixSigma.com
Make Your Payroll Selection and Implementation a Success
Make Your Payroll Selection and Implementation a Success
Net at Work
Lean Six sigma Black Belt Training Part 6
Lean Six sigma Black Belt Training Part 6
Lean Insight
Business Case for BA's PMs
Business Case for BA's PMs
Brian Fariss
Introduction to Lean Transformation
Introduction to Lean Transformation
Amanda Gilmore
SUCCESS STORY: Streamlining the Architectural, Engineering and Professional (...
SUCCESS STORY: Streamlining the Architectural, Engineering and Professional (...
GoLeanSixSigma.com
Improving The Delivery Supply Chain: How A Start Up Became a Global Player
Improving The Delivery Supply Chain: How A Start Up Became a Global Player
Edward Byers, PMP, SSGB
PDCA for Lean Service Design
PDCA for Lean Service Design
Business901
Agile Balanced Scorecard -Agile Tour 2011 Pune
Agile Balanced Scorecard -Agile Tour 2011 Pune
Asheesh Mehdiratta
Why Most IT Projects Fail
Why Most IT Projects Fail
Calen Legaspi
Why Most IT Projects Fail
Why Most IT Projects Fail
calenlegaspi
SUCCESS STORY: Reducing Hiring Time From 10 Months to 36 Days
SUCCESS STORY: Reducing Hiring Time From 10 Months to 36 Days
GoLeanSixSigma.com
Daily continuous improvement program safety culture at the front line
Daily continuous improvement program safety culture at the front line
Canadian Patient Safety Institute
Toyota’s Management System Tools and Behaviours
Toyota’s Management System Tools and Behaviours
Lean Enterprise Academy
PROJECT STORYBOARD: Project Storyboard: Reducing Underwriting Resubmits by Ov...
PROJECT STORYBOARD: Project Storyboard: Reducing Underwriting Resubmits by Ov...
GoLeanSixSigma.com
DennisPovallResume
DennisPovallResume
Dennis Povall
Was ist angesagt?
(20)
Target Value Design Workshop Intro
Target Value Design Workshop Intro
Earthling project success 0218
Earthling project success 0218
Izenbridge pmp-qualitymanagementtoolsv2-130815231627-phpapp01
Izenbridge pmp-qualitymanagementtoolsv2-130815231627-phpapp01
Stephen "Steve" Muzzy Memphis Schools Presentation
Stephen "Steve" Muzzy Memphis Schools Presentation
Webinar: Process Improvement in Government Using Lean Six Sigma
Webinar: Process Improvement in Government Using Lean Six Sigma
Make Your Payroll Selection and Implementation a Success
Make Your Payroll Selection and Implementation a Success
Lean Six sigma Black Belt Training Part 6
Lean Six sigma Black Belt Training Part 6
Business Case for BA's PMs
Business Case for BA's PMs
Introduction to Lean Transformation
Introduction to Lean Transformation
SUCCESS STORY: Streamlining the Architectural, Engineering and Professional (...
SUCCESS STORY: Streamlining the Architectural, Engineering and Professional (...
Improving The Delivery Supply Chain: How A Start Up Became a Global Player
Improving The Delivery Supply Chain: How A Start Up Became a Global Player
PDCA for Lean Service Design
PDCA for Lean Service Design
Agile Balanced Scorecard -Agile Tour 2011 Pune
Agile Balanced Scorecard -Agile Tour 2011 Pune
Why Most IT Projects Fail
Why Most IT Projects Fail
Why Most IT Projects Fail
Why Most IT Projects Fail
SUCCESS STORY: Reducing Hiring Time From 10 Months to 36 Days
SUCCESS STORY: Reducing Hiring Time From 10 Months to 36 Days
Daily continuous improvement program safety culture at the front line
Daily continuous improvement program safety culture at the front line
Toyota’s Management System Tools and Behaviours
Toyota’s Management System Tools and Behaviours
PROJECT STORYBOARD: Project Storyboard: Reducing Underwriting Resubmits by Ov...
PROJECT STORYBOARD: Project Storyboard: Reducing Underwriting Resubmits by Ov...
DennisPovallResume
DennisPovallResume
Andere mochten auch
Dynamic Bayesian modeling for risk prediction in credit operations (SCAI2015)
Dynamic Bayesian modeling for risk prediction in credit operations (SCAI2015)
AMIDST Toolbox
Bayesian statistics
Bayesian statistics
Sagar Kamble
Cost-Aware Virtual Machine Placement acrossDistributed Data Centers using Ba...
Cost-Aware Virtual Machine Placement acrossDistributed Data Centers using Ba...
Soodeh Farokhi
Module 5 Bayesian belief network modelling
Module 5 Bayesian belief network modelling
Think2Impact
Bayes Belief Network
Bayes Belief Network
Hendri Karisma
Probabilistic modeling in deep learning
Probabilistic modeling in deep learning
Denis Dus
construction risk factor analysis: BBN Network
construction risk factor analysis: BBN Network
Shaswati Mohapatra
Bayesian Network 을 활용한 예측 분석
Bayesian Network 을 활용한 예측 분석
datasciencekorea
Change Using your Strengths: That's a change!
Change Using your Strengths: That's a change!
Ben Linders
Why, what, an How of Agile Retrospectives - Lean Kanban Benelux 2015 - Ben Li...
Why, what, an How of Agile Retrospectives - Lean Kanban Benelux 2015 - Ben Li...
Ben Linders
The Perfume Project - Part 1
The Perfume Project - Part 1
Ankit Jha
Valuable Agile Retrospectives - Book Launch for SPIder - Ben Linders
Valuable Agile Retrospectives - Book Launch for SPIder - Ben Linders
Ben Linders
Oefeningen voor waardevolle agile retrospectives - Agile Hub Noord 2016 - Ben...
Oefeningen voor waardevolle agile retrospectives - Agile Hub Noord 2016 - Ben...
Ben Linders
Continuous Improvement, make it visible - ICSPI 2006 - Ben Linders
Continuous Improvement, make it visible - ICSPI 2006 - Ben Linders
Ben Linders
Change agile for XP Days 2012 benelux v1.0
Change agile for XP Days 2012 benelux v1.0
Ben Linders
Kr8tige software met Lean - RWS - Ben Linders
Kr8tige software met Lean - RWS - Ben Linders
Ben Linders
Spicing up agile retrospectives - TopConf Linz 2017 - Ben Linders
Spicing up agile retrospectives - TopConf Linz 2017 - Ben Linders
Ben Linders
Scrum Round Table - Effective Agile Retrospectives
Scrum Round Table - Effective Agile Retrospectives
Delta-N
Agile Requirements
Agile Requirements
Ben Linders
Scene setting: Recent trends in Process Improvement
Scene setting: Recent trends in Process Improvement
Ben Linders
Andere mochten auch
(20)
Dynamic Bayesian modeling for risk prediction in credit operations (SCAI2015)
Dynamic Bayesian modeling for risk prediction in credit operations (SCAI2015)
Bayesian statistics
Bayesian statistics
Cost-Aware Virtual Machine Placement acrossDistributed Data Centers using Ba...
Cost-Aware Virtual Machine Placement acrossDistributed Data Centers using Ba...
Module 5 Bayesian belief network modelling
Module 5 Bayesian belief network modelling
Bayes Belief Network
Bayes Belief Network
Probabilistic modeling in deep learning
Probabilistic modeling in deep learning
construction risk factor analysis: BBN Network
construction risk factor analysis: BBN Network
Bayesian Network 을 활용한 예측 분석
Bayesian Network 을 활용한 예측 분석
Change Using your Strengths: That's a change!
Change Using your Strengths: That's a change!
Why, what, an How of Agile Retrospectives - Lean Kanban Benelux 2015 - Ben Li...
Why, what, an How of Agile Retrospectives - Lean Kanban Benelux 2015 - Ben Li...
The Perfume Project - Part 1
The Perfume Project - Part 1
Valuable Agile Retrospectives - Book Launch for SPIder - Ben Linders
Valuable Agile Retrospectives - Book Launch for SPIder - Ben Linders
Oefeningen voor waardevolle agile retrospectives - Agile Hub Noord 2016 - Ben...
Oefeningen voor waardevolle agile retrospectives - Agile Hub Noord 2016 - Ben...
Continuous Improvement, make it visible - ICSPI 2006 - Ben Linders
Continuous Improvement, make it visible - ICSPI 2006 - Ben Linders
Change agile for XP Days 2012 benelux v1.0
Change agile for XP Days 2012 benelux v1.0
Kr8tige software met Lean - RWS - Ben Linders
Kr8tige software met Lean - RWS - Ben Linders
Spicing up agile retrospectives - TopConf Linz 2017 - Ben Linders
Spicing up agile retrospectives - TopConf Linz 2017 - Ben Linders
Scrum Round Table - Effective Agile Retrospectives
Scrum Round Table - Effective Agile Retrospectives
Agile Requirements
Agile Requirements
Scene setting: Recent trends in Process Improvement
Scene setting: Recent trends in Process Improvement
Ähnlich wie Building Process Improvement Business Cases Using Bayesian Belief Networks and Monte Carlo Simulation - SEPG NA 2009 - Ben linders
Cox Resume (1)
Cox Resume (1)
Ted Cox
08 project quality management
08 project quality management
Omer Alsayed PhD,MBA, PMP®
The Case Studies for Project Control Platform - Maurizio M. Granata Business ...
The Case Studies for Project Control Platform - Maurizio M. Granata Business ...
Mediehuset Ingeniøren Live
5 Reasons Owners Specify Project-Wide Data Management - Webinar, March 2016
5 Reasons Owners Specify Project-Wide Data Management - Webinar, March 2016
Aconex
My resume (1)
My resume (1)
Narayan Nimesh
O'Neill Jamie Resume 2016
O'Neill Jamie Resume 2016
Jamie O'Neill
Cmmi agile kulpa 2004meas cmmi[1]
Cmmi agile kulpa 2004meas cmmi[1]
JULIO GONZALEZ SANZ
Using Benchmarking to Quantify the Benefits of Software Process Improvement
Using Benchmarking to Quantify the Benefits of Software Process Improvement
Quantitative Software Management, Inc.
Overcoming the 5 Most Common PCM Challenges
Overcoming the 5 Most Common PCM Challenges
Michelle Scifers, MBA
Aligning business and IT: Applied Architecture
Aligning business and IT: Applied Architecture
WhiteSpiderEA4
Read My Lips:[KNOWL-I-TEE]
Read My Lips:[KNOWL-I-TEE]
Society of Women Engineers
Addressing Uncertainty How to Model and Solve Energy Optimization Problems
Addressing Uncertainty How to Model and Solve Energy Optimization Problems
optimizatiodirectdirect
Case Study: Driving Quality Control Processes for a Manufacturing Client usin...
Case Study: Driving Quality Control Processes for a Manufacturing Client usin...
Zensar Technologies Ltd.
Ankit.Srivastava
Ankit.Srivastava
Ankit Srivastava
Pulse energy webinar, how to set up a utility conservation program
Pulse energy webinar, how to set up a utility conservation program
Pulse Energy
Reliability Maintenance Engineering 2 - 3 Measuring Maintainability
Reliability Maintenance Engineering 2 - 3 Measuring Maintainability
Accendo Reliability
Software Testing Process, Testing Automation and Software Testing Trends
Software Testing Process, Testing Automation and Software Testing Trends
KMS Technology
Localization Metrics and KPIs
Localization Metrics and KPIs
RWS Moravia
3 Ways That Data Helps Reduce Review Cycles - Webinar, May 2016
3 Ways That Data Helps Reduce Review Cycles - Webinar, May 2016
Aconex
Dulan_Resume_QE
Dulan_Resume_QE
Robert Dulan
Ähnlich wie Building Process Improvement Business Cases Using Bayesian Belief Networks and Monte Carlo Simulation - SEPG NA 2009 - Ben linders
(20)
Cox Resume (1)
Cox Resume (1)
08 project quality management
08 project quality management
The Case Studies for Project Control Platform - Maurizio M. Granata Business ...
The Case Studies for Project Control Platform - Maurizio M. Granata Business ...
5 Reasons Owners Specify Project-Wide Data Management - Webinar, March 2016
5 Reasons Owners Specify Project-Wide Data Management - Webinar, March 2016
My resume (1)
My resume (1)
O'Neill Jamie Resume 2016
O'Neill Jamie Resume 2016
Cmmi agile kulpa 2004meas cmmi[1]
Cmmi agile kulpa 2004meas cmmi[1]
Using Benchmarking to Quantify the Benefits of Software Process Improvement
Using Benchmarking to Quantify the Benefits of Software Process Improvement
Overcoming the 5 Most Common PCM Challenges
Overcoming the 5 Most Common PCM Challenges
Aligning business and IT: Applied Architecture
Aligning business and IT: Applied Architecture
Read My Lips:[KNOWL-I-TEE]
Read My Lips:[KNOWL-I-TEE]
Addressing Uncertainty How to Model and Solve Energy Optimization Problems
Addressing Uncertainty How to Model and Solve Energy Optimization Problems
Case Study: Driving Quality Control Processes for a Manufacturing Client usin...
Case Study: Driving Quality Control Processes for a Manufacturing Client usin...
Ankit.Srivastava
Ankit.Srivastava
Pulse energy webinar, how to set up a utility conservation program
Pulse energy webinar, how to set up a utility conservation program
Reliability Maintenance Engineering 2 - 3 Measuring Maintainability
Reliability Maintenance Engineering 2 - 3 Measuring Maintainability
Software Testing Process, Testing Automation and Software Testing Trends
Software Testing Process, Testing Automation and Software Testing Trends
Localization Metrics and KPIs
Localization Metrics and KPIs
3 Ways That Data Helps Reduce Review Cycles - Webinar, May 2016
3 Ways That Data Helps Reduce Review Cycles - Webinar, May 2016
Dulan_Resume_QE
Dulan_Resume_QE
Mehr von Ben Linders
Psychological Safety in Teams - FlowCon France 2024 - Ben Linders
Psychological Safety in Teams - FlowCon France 2024 - Ben Linders
Ben Linders
Why people hate working in Agile teams - QA Challenge Accepted 2023 - Ben Lin...
Why people hate working in Agile teams - QA Challenge Accepted 2023 - Ben Lin...
Ben Linders
Improving Your Testing Skills and Practices with Gamification - Testing Unite...
Improving Your Testing Skills and Practices with Gamification - Testing Unite...
Ben Linders
Start up distributed teams online - Mini XP days 2022 - Ben Linders
Start up distributed teams online - Mini XP days 2022 - Ben Linders
Ben Linders
Increasing psychological safety in agile teams - Agile humans lean coffee 202...
Increasing psychological safety in agile teams - Agile humans lean coffee 202...
Ben Linders
Improving your quality and testing skills with gamification - Spring 2021 Onl...
Improving your quality and testing skills with gamification - Spring 2021 Onl...
Ben Linders
How agile are you? - Agile New England 2021 - Ben Linders
How agile are you? - Agile New England 2021 - Ben Linders
Ben Linders
Mini workshop collaborative problem solving - OOP 2021 - Ben Linders
Mini workshop collaborative problem solving - OOP 2021 - Ben Linders
Ben Linders
Futurespective on Software Development in 2040 - Agile Tour Brussels 2020 - B...
Futurespective on Software Development in 2040 - Agile Tour Brussels 2020 - B...
Ben Linders
How agile are you - Agile Tour London 2020 - Ben Linders
How agile are you - Agile Tour London 2020 - Ben Linders
Ben Linders
Mini workshop retrospecting your retrospectives - Experience Agile 2020 - Be...
Mini workshop retrospecting your retrospectives - Experience Agile 2020 - Be...
Ben Linders
Webinar enhancing quality and testing in agile teams - PractiTest - Ben Linders
Webinar enhancing quality and testing in agile teams - PractiTest - Ben Linders
Ben Linders
Futurespective on software development in 2040 - Aginext - Ben Linders
Futurespective on software development in 2040 - Aginext - Ben Linders
Ben Linders
Leading for Self-organization - Stretch 2020 - Ben Linders
Leading for Self-organization - Stretch 2020 - Ben Linders
Ben Linders
Pecha Kucha How to screw up your agile retrospective big time - Ben Linders -...
Pecha Kucha How to screw up your agile retrospective big time - Ben Linders -...
Ben Linders
Agile Retrospectives to the Next Level - Organizational Agility - OOP 2020 - ...
Agile Retrospectives to the Next Level - Organizational Agility - OOP 2020 - ...
Ben Linders
Learning at Scale - FlowCon France 2019 - Ben Linders
Learning at Scale - FlowCon France 2019 - Ben Linders
Ben Linders
Organizational agility: Taking retrospectives to the next level - DevOpsCon M...
Organizational agility: Taking retrospectives to the next level - DevOpsCon M...
Ben Linders
Dealing effectively with impediments - Agile Management Congress 2019 - Ben L...
Dealing effectively with impediments - Agile Management Congress 2019 - Ben L...
Ben Linders
Teams what is in it for me - Agile Portugal 2019 - Ben Linders
Teams what is in it for me - Agile Portugal 2019 - Ben Linders
Ben Linders
Mehr von Ben Linders
(20)
Psychological Safety in Teams - FlowCon France 2024 - Ben Linders
Psychological Safety in Teams - FlowCon France 2024 - Ben Linders
Why people hate working in Agile teams - QA Challenge Accepted 2023 - Ben Lin...
Why people hate working in Agile teams - QA Challenge Accepted 2023 - Ben Lin...
Improving Your Testing Skills and Practices with Gamification - Testing Unite...
Improving Your Testing Skills and Practices with Gamification - Testing Unite...
Start up distributed teams online - Mini XP days 2022 - Ben Linders
Start up distributed teams online - Mini XP days 2022 - Ben Linders
Increasing psychological safety in agile teams - Agile humans lean coffee 202...
Increasing psychological safety in agile teams - Agile humans lean coffee 202...
Improving your quality and testing skills with gamification - Spring 2021 Onl...
Improving your quality and testing skills with gamification - Spring 2021 Onl...
How agile are you? - Agile New England 2021 - Ben Linders
How agile are you? - Agile New England 2021 - Ben Linders
Mini workshop collaborative problem solving - OOP 2021 - Ben Linders
Mini workshop collaborative problem solving - OOP 2021 - Ben Linders
Futurespective on Software Development in 2040 - Agile Tour Brussels 2020 - B...
Futurespective on Software Development in 2040 - Agile Tour Brussels 2020 - B...
How agile are you - Agile Tour London 2020 - Ben Linders
How agile are you - Agile Tour London 2020 - Ben Linders
Mini workshop retrospecting your retrospectives - Experience Agile 2020 - Be...
Mini workshop retrospecting your retrospectives - Experience Agile 2020 - Be...
Webinar enhancing quality and testing in agile teams - PractiTest - Ben Linders
Webinar enhancing quality and testing in agile teams - PractiTest - Ben Linders
Futurespective on software development in 2040 - Aginext - Ben Linders
Futurespective on software development in 2040 - Aginext - Ben Linders
Leading for Self-organization - Stretch 2020 - Ben Linders
Leading for Self-organization - Stretch 2020 - Ben Linders
Pecha Kucha How to screw up your agile retrospective big time - Ben Linders -...
Pecha Kucha How to screw up your agile retrospective big time - Ben Linders -...
Agile Retrospectives to the Next Level - Organizational Agility - OOP 2020 - ...
Agile Retrospectives to the Next Level - Organizational Agility - OOP 2020 - ...
Learning at Scale - FlowCon France 2019 - Ben Linders
Learning at Scale - FlowCon France 2019 - Ben Linders
Organizational agility: Taking retrospectives to the next level - DevOpsCon M...
Organizational agility: Taking retrospectives to the next level - DevOpsCon M...
Dealing effectively with impediments - Agile Management Congress 2019 - Ben L...
Dealing effectively with impediments - Agile Management Congress 2019 - Ben L...
Teams what is in it for me - Agile Portugal 2019 - Ben Linders
Teams what is in it for me - Agile Portugal 2019 - Ben Linders
Kürzlich hochgeladen
BAGALUR CALL GIRL IN 98274*61493 ❤CALL GIRLS IN ESCORT SERVICE❤CALL GIRL
BAGALUR CALL GIRL IN 98274*61493 ❤CALL GIRLS IN ESCORT SERVICE❤CALL GIRL
kapoorjyoti4444
Business Model Canvas (BMC)- A new venture concept
Business Model Canvas (BMC)- A new venture concept
P&CO
Eluru Call Girls Service ☎ ️93326-06886 ❤️🔥 Enjoy 24/7 Escort Service
Eluru Call Girls Service ☎ ️93326-06886 ❤️🔥 Enjoy 24/7 Escort Service
Damini Dixit
Insurers' journeys to build a mastery in the IoT usage
Insurers' journeys to build a mastery in the IoT usage
Matteo Carbone
Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023
Neil Kimberley
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
amitlee9823
Organizational Transformation Lead with Culture
Organizational Transformation Lead with Culture
Seta Wicaksana
Falcon Invoice Discounting platform in india
Falcon Invoice Discounting platform in india
Falcon Invoice Discounting
Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...
Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...
lizamodels9
RSA Conference Exhibitor List 2024 - Exhibitors Data
RSA Conference Exhibitor List 2024 - Exhibitors Data
Exhibitors Data
A DAY IN THE LIFE OF A SALESMAN / WOMAN
A DAY IN THE LIFE OF A SALESMAN / WOMAN
IlamathiKannappan
Call Girls Service In Old Town Dubai ((0551707352)) Old Town Dubai Call Girl ...
Call Girls Service In Old Town Dubai ((0551707352)) Old Town Dubai Call Girl ...
allensay1
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Dave Litwiller
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
dollysharma2066
Nelamangala Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Nelamangala Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
amitlee9823
How to Get Started in Social Media for Art League City
How to Get Started in Social Media for Art League City
Eric T. Tung
Monthly Social Media Update April 2024 pptx.pptx
Monthly Social Media Update April 2024 pptx.pptx
Andy Lambert
Call Girls Hebbal Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
Call Girls Hebbal Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
amitlee9823
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
Dipal Arora
Falcon's Invoice Discounting: Your Path to Prosperity
Falcon's Invoice Discounting: Your Path to Prosperity
hemanthkumar470700
Kürzlich hochgeladen
(20)
BAGALUR CALL GIRL IN 98274*61493 ❤CALL GIRLS IN ESCORT SERVICE❤CALL GIRL
BAGALUR CALL GIRL IN 98274*61493 ❤CALL GIRLS IN ESCORT SERVICE❤CALL GIRL
Business Model Canvas (BMC)- A new venture concept
Business Model Canvas (BMC)- A new venture concept
Eluru Call Girls Service ☎ ️93326-06886 ❤️🔥 Enjoy 24/7 Escort Service
Eluru Call Girls Service ☎ ️93326-06886 ❤️🔥 Enjoy 24/7 Escort Service
Insurers' journeys to build a mastery in the IoT usage
Insurers' journeys to build a mastery in the IoT usage
Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
Organizational Transformation Lead with Culture
Organizational Transformation Lead with Culture
Falcon Invoice Discounting platform in india
Falcon Invoice Discounting platform in india
Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...
Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...
RSA Conference Exhibitor List 2024 - Exhibitors Data
RSA Conference Exhibitor List 2024 - Exhibitors Data
A DAY IN THE LIFE OF A SALESMAN / WOMAN
A DAY IN THE LIFE OF A SALESMAN / WOMAN
Call Girls Service In Old Town Dubai ((0551707352)) Old Town Dubai Call Girl ...
Call Girls Service In Old Town Dubai ((0551707352)) Old Town Dubai Call Girl ...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
Nelamangala Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Nelamangala Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
How to Get Started in Social Media for Art League City
How to Get Started in Social Media for Art League City
Monthly Social Media Update April 2024 pptx.pptx
Monthly Social Media Update April 2024 pptx.pptx
Call Girls Hebbal Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
Call Girls Hebbal Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
Falcon's Invoice Discounting: Your Path to Prosperity
Falcon's Invoice Discounting: Your Path to Prosperity
Building Process Improvement Business Cases Using Bayesian Belief Networks and Monte Carlo Simulation - SEPG NA 2009 - Ben linders
1.
© 2009 Carnegie
Mellon University Building Process Improvement Business Cases Using Bayesian Belief Networks and Monte Carlo Simulation Software Engineering Institute Carnegie Mellon University Pittsburgh, PA 15213 Ben Linders, Affiliate SEI / Ericsson Quality Mgr SEPG NA 2009, San Jose, CA
2.
2 Ben Linders, Ericsson©
2008 Carnegie Mellon University Contents / Agenda Introduction Conclusions Validate Business Cases Quality Factors
3.
3 Ben Linders, Ericsson©
2008 Carnegie Mellon University Problem Statement Quality improvement needed in many organizations Business case • Identification of problem areas • Selected improvement • Decision Quantified • Costs & benefits • Lead time to result Introduction
4.
4 Ben Linders, Ericsson©
2008 Carnegie Mellon University Quantification problems Much time needed to gather data Difficult to measure things Hard to keep management commitment Expensive Required: Business case, with limited but sufficient measurement effort, to gain management commitment and funding Introduction
5.
5 Ben Linders, Ericsson©
2008 Carnegie Mellon University Affiliate Collaboration Ericsson Netherlands: Market Unit Northern Europe & Main R&D Center R&D: Value Added Services • Strategic Product Management • Product marketing & technical sales support • Provisioning & total project management • Development & maintenance • Customization • Supply & support SEI Pittsburgh, PA: Software Engineering Measurement & Analysis Modern Measurement Methods • Goal Driven Measurement • Analyzing Project management Indicators • Improving Process Performance using Six Sigma, Designing Products and Processes using Six Sigma • Understanding CMMI High Maturity Practices • Client Support & Research • Training Development & Delivery Introduction
6.
6 Ben Linders, Ericsson©
2008 Carnegie Mellon University Solution Technologies • Bayesian Belief Networks (BBN) • Monte Carlo Simulation • Root Cause Analysis • Cost of Quality, Defect Slippage Six Sigma DMAIC Approach • Modeling Business Cases • Research Quality Factors & quantify Quality Improvement • Validate “Business Case for Quality” Introduction
7.
7 Ben Linders, Ericsson©
2008 Carnegie Mellon University Fault Slip Through Fault Slip Through = Number of defects detected in integration & customer test that should have been detected earlier “Should” implies that the defect is more cost effective to find earlier. ??? Lead Time Quality Cost FST ??? ??? Business Cases
8.
8 Ben Linders, Ericsson©
2008 Carnegie Mellon University BBN Quality Phase Performance Fault Slip Through Historical Project Data Industry Data Monte Carlo Current Quality Phase Performance Subjective Expert Opinion Improved Quality Phase Performance Quality FactorQuality FactorQuality FactorQuality Factor Business Cases Building a business case
9.
9 Ben Linders, Ericsson©
2008 Carnegie Mellon University Bayes Belief Network (BBN) • Probabilistic graphical model, to model uncertainty • Diagnose and explain why an outcome happened • Predict outcomes based on insight to one or more factors Used: • Modeling Quality Factors • Predicting Quality Phase Performance • What if Scenario Business Cases
10.
10 Ben Linders, Ericsson©
2008 Carnegie Mellon University Monte Carlo Simulation • Compute a result based on random sampling • Modeling distributions of data • Can make uncertainty visible Used: • Calculate value of process changes Business Cases
11.
11 Ben Linders, Ericsson©
2008 Carnegie Mellon University Quality Phase Performance Management Factors Defect Insertion Defect Detection Quality Factors Quality Factor: Influencing quality of the delivered product
12.
12 Ben Linders, Ericsson©
2008 Carnegie Mellon University Management Factors Management Context for Technical Activities Direct: • Project Management • Process Management Indirect: • Strategic & Operational Line Management Quality Factors
13.
13 Ben Linders, Ericsson©
2008 Carnegie Mellon University Defect Insertion Technical Activities where defects inserted • Root Cause Analysis • Defect Prevention Quality Factors
14.
14 Ben Linders, Ericsson©
2008 Carnegie Mellon University Defect Detection Technical Activities where defects detected • Early Detection • Economy of Test • Release Quality Reduce Defect Slippage Quality Factors
15.
15 Ben Linders, Ericsson©
2008 Carnegie Mellon University Quality Factors Purpose • Predictor of Quality • Leading indicator Sources • Research • Expert opinion • Experience Quality Factors
16.
16 Ben Linders, Ericsson©
2008 Carnegie Mellon University Quantify Quality Improvement Connect defect data with Quality performance • Maximum quality factor => Industry best in class Published industry data from various sources • Distribution: Linear (keep it simple) Extend BBN to calculate remaining defects after each phase Result: Model for “what if scenario’s” • Calculate defects in release products, when quality performance improves • Cost of Quality data to calculate savings Quality Factors
17.
17 Ben Linders, Ericsson©
2008 Carnegie Mellon University Validate “Business Case for Quality” • Quality Performance Assessment — Determine areas for Improvement • Pilot: Agile for Requirements — Calculate value of process change — Run the pilot — Evaluate the result Validate
18.
18 Ben Linders, Ericsson©
2008 Carnegie Mellon University Quality performance assessment Survey based upon Quality Factors • 34 respondents from management & technical roles • 4 management areas & 7 technical areas 2 sub questions for each quality factor: • How relevant is the factor when we want to improve quality? “little if any,” “moderate,” “substantial,” or “extensive,” • How well are we doing currently? “poor,” “fair,” “good,” and “excellent.” Validate
19.
19 Ben Linders, Ericsson©
2008 Carnegie Mellon University Improvement Areas Validate
20.
20 Ben Linders, Ericsson©
2008 Carnegie Mellon University Agile for Requirements Problem areas • Requirements Stability • Scope Stability • Requirement Definition Capability Agile solution • Planning Game • Stand-up meetings • Architecture team • Iterations • Risk Based Testing Validate
21.
21 Ben Linders, Ericsson©
2008 Carnegie Mellon University Phase Quality Factor Detected defects Defects left Savings Req 4,7 Arch 5,1 Impl 5,1 Total development 45 Inspection 5,3 11 34 Early Test 5,0 11 23 Late Test 6,2 10 13 Customer Test 5,0 5 8 Total development 4% Maint Total 9% Pilot: Prevent Requirement Defects Monte Carlo Simulation • Simulate Current Performance on Defect Insertion & Detection • Estimate Agile improvement (expert opinion) Bayes Belief Network • Ericsson data to calibrate current performance • Predict savings due to less defects inserted Validate Phase Quality Factor Detected defects Defects left Detection % Req 4,4 Arch 5,1 Impl 5,1 Total development 49 Inspection 5,3 12 37 24% Early Test 5,0 12 25 32% Late Test 6,2 11 14 44% Customer Test 5,0 5 9 36% Total development Maint Total Current Improved
22.
22 Ben Linders, Ericsson©
2008 Carnegie Mellon University Results Agile • Very low number of requirement defects • Previous projects also had a low number • Based upon the data no conclusion could be drawn Root Cause Analysis: • understanding requirements increased: planning game & stand-up meetings. • Improvements from retrospectives increased cooperation between development team and product owner. Requirements quality performance increased! Validate
23.
23 Ben Linders, Ericsson©
2008 Carnegie Mellon University Evaluation Business Case Bayesian Belief Networks were successful: • High level graphical overview • Focus on improving requirements quality • Positive results from the pilot • Limited investment needed for the business case • We do not know for sure if improvements in an other area would have been more beneficial Monte Carlo Simulation of potential results has had less value: • Limited data available on requirements • Used Root Cause Analysis to confirm improvements Conclusions
24.
24 Ben Linders, Ericsson©
2008 Carnegie Mellon University Conclusions Quicker Business Cases with BBN: • Quality Factors/Performance • Fault Slip Through Monte Carlo value Simulation: • Distribution of cost savings Benefits • Quick Improvement Scope • Better Business Case: Value for Business • Agile increased requirements quality • Value based measurement approach Conclusions
25.
Contact: Ben Linders Ericsson R&D The
Netherlands Ben.Linders@Ericsson.com
26.
26 Ben Linders, Ericsson©
2008 Carnegie Mellon University Backup Slides
27.
27 Ben Linders, Ericsson©
2008 Carnegie Mellon University Software Engineering Economics http://citeseer.ist.psu.edu/boehm00software.html Increased Value Modeling Business Cases Decision Aids
28.
28 Ben Linders, Ericsson©
2008 Carnegie Mellon University Affiliate Assignment Joint effort: Ericsson (Ben Linders) and SEI (Bob Stoddard) • Time, money, materials • Knowledge & experience Deliverables Ericsson • Defect data & benchmarks • Improved decisions skills • Business case & Strategy 2007: — Early phases: Improvements — Late test phases: Reduction Research contribution • Apply Six Sigma business cases • Verify technology (CoQ, RBT, FST, etc)
29.
29 Ben Linders, Ericsson©
2008 Carnegie Mellon University Six Sigma DMAIC mapping 2006: DMA Project “Improved Test Decisions”: Identify current data used Potential areas for Quality Improvement Define required data & set baseline Propose improvement for 2007 2007/2008: IC Six Sigma based Strategic Improvement program Pilots: Agile, Modeling, Quality Culture Measure benefits Institutionalize improvements
30.
30 Ben Linders, Ericsson©
2008 Carnegie Mellon University Define Project Scope • Problem Statement • Baseline data • Goal • Voice of Customer/Business • SIPOC • Quality Roadmap Establish Project • Initial Business Case • Scope & Excluded • Research Areas • Assignment roles, costs, planning
31.
31 Ben Linders, Ericsson©
2008 Carnegie Mellon University Measure Identify needed data • Process Model • GQIM • Hypothesis & Predictions • Required data Obtain Data Set • Prediction model • Available data Evaluate Data Quality Summarize & Baseline Data • Benchmarking
32.
32 Ben Linders, Ericsson©
2008 Carnegie Mellon University Analyze Explore data Characterize process & problem Update improvement project scope & scale
33.
33 Ben Linders, Ericsson©
2008 Carnegie Mellon University Improve Pilot Agile Requirements Measure impact on slipped through defects Root Cause Analysis
34.
34 Ben Linders, Ericsson©
2008 Carnegie Mellon University Control Establish measurements on Balanced Scorecard • Fault Slip Through Root Cause Analysis for continuous improvement • Defects after Release Both predicted (handshake with product owner) and actual Quality Steering on all levels • Inside Project: Planning game, Root Cause Analysis • Programs: Monthly Project Steering Group • R&D: Monthly quality meeting with MT members
35.
35 Ben Linders, Ericsson©
2008 Carnegie Mellon University Two step approach Quality Factor Model • Expert opinion, extended with data • Quick Quality Scan • Rough Prediction Fault Slip Through • Improvement Areas Defect Prediction Model • Data, tuned with expert opinion • Detailed Prediction Fault Slip Through • Improvement Business Case Process Inputs andoutputs Influencingfactors Measurement DefectsInserted (documentation, code) DefectsDetected (Inspection, test) (Un)happycustomers DesignProcess Competence, skills Tools, environment Test Process Competence, skills Test Capacity Tools, environment ResidentDefectsin DeliveredProduct ResidentDefectsin DesignBase DetectionRate DefectDensity Fault SlipThrough DefectLevel DefectClassification
36.
36 Ben Linders, Ericsson©
2008 Carnegie Mellon University Example of Bayesian Belief Model
37.
37 Ben Linders, Ericsson©
2008 Carnegie Mellon University Economic Model Understand costs of defects Process & project performance Dialog managers & developers Use operational data Manage under uncertainty & incomplete data Technologies • Cost of Quality • Bayesian Belief Networks • Real Options • Lean Six Sigma
38.
38 Ben Linders, Ericsson©
2008 Carnegie Mellon University Quality Prediction Current Model: Estimation • Extrapolate past performance • Based on inserted/detected defects • Plan & track Wanted: Prediction • Causes of defects • What if Scenarios • Decision taking All models are wrong Some models are useful Deming
39.
39 Ben Linders, Ericsson©
2008 Carnegie Mellon University History Defect Modeling 2001 • Defect Model defined, pilot in first project 2002/2003 • Improved based on project feedback • First release quality estimates • Industrialize model/tool, use in all major projects 2004/2005 • Targets: Project portfolio management • Process Performance & Cost of Quality 2006/2007 • Process Improvement Business Cases SW Engineering Economics, Six Sigma • Defect Prediction
40.
40 Ben Linders, Ericsson©
2008 Carnegie Mellon University Project Defect Model Why? • to control quality of the product during development • improve development/inspection/test processes Business Value: ² Improved Quality ² Early risks signals ² Better plans & tracking ² Lower maintenance ² Save time and costs ² Happy customers!
41.
41 Ben Linders, Ericsson©
2008 Carnegie Mellon University Step 2: Defect Causes & Effect Process Inputs andoutputs Influencingfactors Measurement DefectsInserted (documentation, code) DefectsDetected (Inspection, test) (Un)happycustomers DesignProcess Competence, skills Tools, environment Test Process Competence, skills Test Capacity Tools, environment Resident Defectsin DeliveredProduct Resident Defectsin DesignBase DetectionRate Defect Density Fault SlipThrough Defect Level Defect Classification From Estimation to Prediction
42.
42 Ben Linders, Ericsson©
2008 Carnegie Mellon University Step 2: Defect Prediction Fault Slip Through Defect found in a (later) test phase that should have been found earlier “Should”: More Cost effective (economical) Predict Defect Reduction • Determine process impact • Simulate quality change • Predict savings Pilots • Agile • Model Driven Development
43.
43 Ben Linders, Ericsson©
2008 Carnegie Mellon University Process Performance Project Data • Insertion Rates • Detection Rates • Defect Distribution • Fault Slip Through • Post Release Defects Process View • Performance of design & test processes • Benchmarking • Best Practices & Improvement Areas 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% R equirem entsArchitecture D esign C ode D ocw areFunction TestSystem TestN etw ork Test Total Det. Rate
44.
44 Ben Linders, Ericsson©
2008 Carnegie Mellon University Steering Agile Quality • Estimate amount of latent defects after demo in the planning game. • Collect all defects during the test phases (after the demo). • Classify defects: • “introduction phase“ • “should have been detected phase” • Root cause analysis on defects that should have been found before demo. • Decide on improvement actions and present to the project team. • Re-estimate remaining defects and predict release quality.
45.
45 Ben Linders, Ericsson©
2008 Carnegie Mellon University Monte Carlo: Quality performance Monte Carlo simulation • Input from 5 experts • Estimated chance of occurrence and impact on FST (1-5 scale) • Simulation done to calculate impact on quality factors • Result used in BBN model to calculate effect on defect slippage Expected result: • Reduced number of requirement defects introduced • Increased effectiveness of late testing phases • Less defects in products shipped to customers • Cost saving: — Limited saving in the project — Major saving during maintenance
46.
46 Ben Linders, Ericsson©
2008 Carnegie Mellon University SEI Affiliate The Software Engineering Institute Affiliate Program provides sponsoring organizations with an opportunity to contribute their best ideas and people to a uniquely collaborative peer group who combine their technical knowledge and experience to help define superior software engineering practices. Affiliates: http://www.sei.cmu.edu/collaborating/affiliates/affiliates.html
Jetzt herunterladen