Re-Structuring TRIZ To Meet The Needs Of Software Engineers

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* Ideality is the over-riding driver for system evolution I D E A L I T Y * Ideality is about increasing the good, decreasing the bad * Ideality = ‘Value’ = Benefits (Cost + Harm) * IDEAL FINAL RESULT – all the benefits, none of the cost or harm * ‘free, perfect & now’ * ‘SELF’ ©2006, DLMann, all rights reserved
SELF- compensating aligning adjusting updating repairing organising assessing correcting etc ©2006, DLMann, all rights reserved
Page 1 and 2: Re-Structuring TRIZ To Meet The Nee
Page 3 and 4: The Big Picture ©2006, DLMann, all
Page 5 and 6: Towards A Universal Systematic Inno
Page 7 and 8: MILLIONS of systems HUNDREDS of dif
Page 9 and 10: ©2006, DLMann, all rights reserved
Page 11 and 12: What Is Happening Here? Root Causes
Page 13 and 14: Key Software Design Problems: 1) Bu
Page 15 and 16: * Many systems are recursive… *
Page 17 and 18: Law Of System Completeness This rul
Page 19 and 20: Law Of System Completeness System L
Page 21 and 22: The Biggest Software Problem…. So
Page 23 and 24: System Completeness and OVER-Comple
Page 25 and 26: Complexity Increase And Migration E
Page 27 and 28: Insufficient Planning Ideal Final R
Page 29: Insufficient Planning…. ¥ COMMIT
Page 33 and 34: Trend : Nesting - UP Independent st
Page 35 and 36: Problem Solving And ‘Ideal Final
Page 37 and 38: Maps Of The Strategic World 2) Know
Page 39 and 40: Wicked Problems Law Of Requisite Va
Page 41 and 42: SYSTEM OPERATOR (‘9 Windows’) S
Page 43 and 44: DCM Evolution - Likely Timing Marke
Page 45 and 46: Key Software Design Problems 3) Pro
Page 47 and 48: What Does This Imply? When we are w
Page 49 and 50: Domain of PROBLEMS ‘Voice of the
Page 51 and 52: IFR - Fixed AND Moving IFR Migrates
Page 53 and 54: Non-Linearities Butterfly flaps win
Page 55 and 56: Software Trends FREE Human Involvem
Page 57 and 58: Trend : Damping Khairul - this one
Page 59 and 60: Key Offering - Evolution Status And
Page 61 and 62: Massive Rise In Computing Power Con
Page 63 and 64: Trade-Off versus Breakthrough Think
Page 65 and 66: TRIZ For Software Contradiction Mat
Page 67 and 68: TRIZ Contradiction Matrix ‘Contra
Page 69 and 70: 40 Inventive (Software) Principles
Page 71 and 72: TRIZ Contradictions Solution Proced
Page 73 and 74: Example Problem - ‘Hicks Law’ H
Page 75 and 76: Mapping Onto Matrix: High (bad) Low
Page 77 and 78: Parameter We Want to Improve - Spee
Page 79 and 80: Accelerated System Evolution X IFR
Page 81 and 82:
“If builders built buildings the
Page 83 and 84:
False Givens 1) 2) How tall are you
Page 85 and 86:
Find The False Assumptions "I need
Page 87 and 88:
Finding ‘False Givens’ Usual Wo
Page 89 and 90:
1) Localise the problem - when and
Page 91 and 92:
Putting It All Together Summary ©2
Page 93:
www.systematic-innovation.com •Ed
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Re-Structuring TRIZ To Meet The Needs Of Software Engineers

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