extent-2016: delivering quality from chaos
TRANSCRIPT
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Delivering Quality From Chaos
Jeremy Norwood
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Project Delivery
“is providing a solution on time, on budget and to the required quality that
solves the identified problem”
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Quality
“is the degree of conformance to explicit or implicit requirements and
expectations ”
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Chaos
“is the property of a complex system whose behaviour is so unpredictable as
to appear random, owing to great sensitivity to small changes in
conditions”
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Content
1. Contributors
2. Symptoms
3. Diagnosis
4. Survival
5. Summary/Q&A
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CONTRIBUTORS – Industry Sector
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CONTRIBUTORS – Product & Technology
SectorContext
Product DiversityAsset Class Variance
Exchange vs OTC Cleared vs Not
Client DiversityInstitutional to
IndividualHuman to Machine
Reg. DiversityRegulated vs NotRegional & Global
Differences
Software
Programming Languages
Too Many to Name
Development Methodologies
Immature & Evolving
Multi Dimensional Challenges
Complex Logic, Latency, Big Data
Hardware
NetworkGlobal Data Super
Highway
Servers / StoragePhys vs VM vs Cloud
Linux vs Windows
Embedded Hardware & O/S Programming
Highly Skilled & Niche
Testing
Testing CoverageNever Enough
Scenarios
Multi LayerFunc & Integration
Perf & CapacitySecurity & DR
Test ToolsSwiss Army knife
required
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CONTRIBUTORS – People & Culture
Culture & Language & Social
Company Culture & Values
Team Behaviours & Dynamics
Individual Personalities
& Needs
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SYMPTOMS – Recognising the Signs• Overly Complex and Inflexible Solutions• Low Innovation• High Defect Rates and Poor Quality• Unstable Operations and Costly to Maintain
Technology
• Long Hours• Poor Collaboration Between Teams• Low Level of Trust• High Staff Turnover
People
• Missed Deliverables & Milestones• High Levels of Rework• Cost Overruns• Low Levels of Continuous Improvement
Project
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DIAGNOSIS – How Chaotic are Things? Low Chaos =============================================> Extreme Chaos
1 2 3 4 5 6 7 8 9 10
Well Known/Defined Requirements Exploratory/Fluid
Low Speed High
Flexible/Long Term Deadlines Fixed/Short Term
Low Innovation High
Low Change & Uncertainty High
Low Dependencies & Interdependencies High
Dedicated Team Availability Multitasking
Available Sponsor Unavailable
Available Customer Unavailable
Low Technical Complexity High
Low Org Complexity & Politics High
Co-Located Geographical Diversity Dispersed
Low Market Complexity High
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SURVIVAL – Be Realistic, Consider Future Obstacles• Expect uncertainty– Little or no relationship between cause and
effect– Manage through small iterations, anticipation
and adaptation– Have contingency plans ready to go– Challenge assumptions
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SURVIVAL – Keep it Simple and Be Agile
• Keep it Simple
• Be Agile– “Having A Quick, Resourceful And Adaptable
Character”– A way of thinking, not a defined process
Simple clear purpose and process give rise to complex intelligent behaviours. Complex
rules and regulations give rise to simple, stupid behaviours.
Dee Hock, Founder Visa Credit Cards
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SURVIVAL – Synchronise Activities
• Apply Dynamic Planning & Control– Act, Sense, Respond
• Use best fit Dev and Test lifecycle– Ensure teams are synchronised
• Avoid Domino Effect– Decouple activities and create Buffers– Manage “technical debit” built up over time
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SURVIVAL – Understand the Dependencies
Functional/Non Functional
ProjectDeliverables
Software/Hardware
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SURVIVAL – Use Data
• Consider all sources of data
• Analyse and identify patterns– Don’t focus on root cause (no relationship between cause & effect)
• Make small and quick decisions, check impact and adjust– Remember chaotic environments are sensitive to small changes
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SURVIVAL – Advanced Strategies
• Chaos Engineering/Testing– Failure is unavoidable so deliberately introduce (via a
Monkey)• Latency monkey, Security Monkey, Janitor Monkey etc
– http://principlesofchaos.org/– http://testingsoftwarehelp.com/what-is-chaos-testing-
engineering/
• Extreme Project Management– http://www.dougdecarlo.com/
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IN SUMMARY
• Recognise and embrace chaos– It’s in the DNA of Finance sector and Technology
• Understand your environment– Consider all the influencing factors
• Combat complexity with agility– Adopt an agile and flexible mind set– Look ahead and anticipate uncertainty– Use data to inform decision making and check impact