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Thriving Systems Theory and Metaphor-Driven Modeling - Leslie J. Waguespack

Thriving Systems Theory and Metaphor-Driven Modeling

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Published: 7th October 2010
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How is it that one system is more effective, appealing, satisfying and/or more beautiful than another to its stakeholder community? This question drove Christopher Alexander's fifty-year quest to explain great physical architecture and gave birth to pattern-languages for building that underpin much of modern systems engineering.

How is it that so many individual stakeholders consistently recognize the same quality, the same beauty in a system? This question led George Lakoff to research the role of conceptual metaphor in human understanding.

What is essential to stakeholders' satisfaction with systems? Fred Brooks, in his publications, addressed this question.

This monograph fuses these diverse streams of thought in proposing Thriving Systems Theory by translating Alexander's properties of physical design quality into the abstract domain of information systems and modeling. Metaphor-Driven Modeling incorporates the theory while examining its impact throughout the system life cycle: modeling, design and deployment. The result is holistic and innovative, a perspective on system quality invaluable to students, practitioners and researchers of software and systems engineering.

Introductionp. 1
The Quest for Great Design: Great Designersp. 2
Building Buildings and Systemsp. 2
Humans Know and How They Know Itp. 3
A Fusion of Perception, Conception, and Constructionp. 3
A Note of Disclosure to the Readerp. 6
Referencep. 6
Thriving Systems Theory
Christopher Alexander's Nature of Orderp. 9
Order, Complexity, and Human Perceptionp. 10
Wholeness and Centersp. 11
Choices as Centersp. 12
Wholeness and Center Propertiesp. 12
Referencesp. 14
Wholeness and Center Properties Mapped to Modelingp. 15
Levels of Scale to Stepwise Refinementp. 15
Strong Centers to Cohesionp. 16
Boundaries to Encapsulationp. 16
Alternating Repetition to Extensibilityp. 17
Positive Space to Modularizationp. 17
Good Shape to Correctnessp. 17
Local Symmetries to Transparencyp. 18
Deep Interlock and Ambiguity to Composition of Functionp. 19
Contrast to Identityp. 19
Gradients to Scalep. 19
Roughness to User Friendlinessp. 20
Echoes to Patternsp. 20
The Void to Programmabilityp. 21
Simplicity and Inner Calm to Reliabilityp. 21
Not Separateness to Elegancep. 22
Examining the Mapping from Center Properties to Choice Propertiesp. 22
Referencesp. 26
Achieving Versus Observing Strength in Choice Propertiesp. 27
Stepwise Refinement (To Elaborate)p. 27
Cohesion (To Factor)p. 29
Encapsulation (To Encapsulate)p. 29
Extensibility (To Render Extendable)p. 30
Modularization (To Modularize)p. 30
Correctness (To Align)p. 31
Transparency (To Expose)p. 32
Composition of Function (To Assemble)p. 32
Identity (To Identify)p. 32
Scale (To Focus)p. 33
User Friendliness (To Accommodate)p. 34
Patterns (To Pattern)p. 34
Programmability (To Generalize)p. 35
Reliability (To Normalize)p. 35
Elegance (To Coordinate)p. 36
Modeling Actions: Syntax and Semanticsp. 36
Building Life into Information Systemsp. 39
A Life-Infusing Process for Building Information Systemsp. 39
Applying Alexander's Generative Building Processp. 40
Complexity and the Improbability of Working Systemsp. 40
Generated Structures: Top-Down Versus Bottom-Upp. 41
Accident of Implementation: Threat to System Lifep. 42
Peripheral Vision in the "Mind's Eye"p. 43
Referencesp. 44
A Vision of Thriving Systemsp. 47
The "Field-Effect" of Choice Propertiesp. 47
Choice Property Coherencep. 48
Choice Property Clusteringp. 49
Choice Property Cluster Contribution to Wholenessp. 51
Exploring the "Field-Effect" of the Clustersp. 56
Divisibility: The Field-Effect of Cluster "A"p. 56
Factorability: The Field-Effect of Cluster "B"p. 57
Constructibility: The "Field-Effect" of Cluster "C"p. 59
Confidence: The "Field-Effect" of Cluster "D"p. 60
Predictability: The "Field-Effect" of Cluster "E"p. 61
Usability: The "Field-Effect" of Cluster "F"p. 63
Intuitiveness: The "Field-Effect" of Cluster "G"p. 64
Scalability: The "Field-Effect" of Cluster "H"p. 66
Fidelity: The "Field-Effect" of Cluster "I"p. 67
Effectiveness: The "Field-Effect" of Cluster "J"p. 68
Robustness: The "Field-Effect" of Cluster "K"p. 70
Sustainability: The "Field-Effect" of Clusterp. 71
Vitality: The "Field-Effect" of Cluster "M"p. 73
Thriving: The "Field-Effect" of Cluster "N"p. 74
Directing the "Field-Effect" of Properly Clustersp. 76
The Consequence of Thriving Systems Theoryp. 78
Historical Reverberationsp. 79
Referencesp. 80
Thriving Systems Theory in Systems Development
Metaphorologyp. 83
The Basics of Conceptual Metaphorp. 83
The Metaphor in Thought: Lakoff's Embodied Mindp. 85
Lakoff's Embodied Mind Meets Alexander's Nature of Orderp. 87
Metaphors and Patternsp. 88
Referencesp. 88
Metaphor-Driven Modelingp. 91
The Nature of Systemsp. 91
The Utility of Modelingp. 92
Modeling: Crafting Conceptual Metaphorsp. 93
Modeling Essence: Recognizing Accidentp. 95
Quality Through Conceptual Metaphorsp. 97
Referencesp. 98
Protecting Life in System Life Cyclesp. 99
Common Models of System Concernsp. 100
Model Conjugation and Transparencyp. 100
The Paradox of Modeling Essence in the Nowp. 103
Referencep. 103
Metaphor-Driven Systems Engineeringp. 105
Software Engineeringp. 105
Systems Engineeringp. 106
Ordering the Now/Accommodating the Future: Architecturep. 106
Architecture in Thriving Systems Theoryp. 107
Essence Versus Accident: Bifurcation or Continuum?p. 109
Information Systems Ecology: Managing Lifep. 111
Checklist for Modeling Thriving Systemsp. 112
Referencesp. 113
Thriving Systems and Beautyp. 115
"Objective" System Quality Assessmentp. 115
"Subjective" System Quality Assessmentp. 116
The Experience of Quality in Observationp. 117
Is It Beauty or Is It Thriving?p. 120
Referencesp. 121
Promoting Life Using the Object-Oriented Paradigmp. 123
An Ontology of the Object-Oriented Paradigmp. 123
Modeling Living Structure in the Object-Oriented Paradigmp. 126
Stepwise Refinementp. 127
Cohesionp. 128
Encapsulationp. 129
Extensibilityp. 129
Modularizationp. 130
Correctnessp. 130
Transparencyp. 131
Composition of Functionp. 132
Identityp. 133
Scalep. 133
User Friendlinessp. 134
Patternsp. 135
Programmabilityp. 135
Reliabilityp. 136
Elegancep. 137
Programming Languages Versus Ontologyp. 137
Referencesp. 138
Promoting Life Using the Relational Paradigmp. 139
An Ontology of the Relational Paradigmp. 139
Modeling Living Structure in the Relational Paradigmp. 143
Stepwise Refinementp. 144
Cohesionp. 144
Encapsulationp. 145
Extensibilityp. 145
Modularizationp. 145
Correctnessp. 146
Transparencyp. 146
Composition of Functionp. 147
Identityp. 147
Scalep. 148
User Friendlinessp. 148
Patternsp. 149
Programmabilityp. 149
Reliabilityp. 150
Elegancep. 150
Programming Languages Versus Ontologyp. 150
Referencesp. 151
Thriving Systems Through Metaphor-Driven Modelingp. 153
No Perfect Models: Only Useful Onesp. 153
Processes That Generate Useful Modelsp. 154
Useful Models as Enculturated Organismsp. 155
Modeling the Business Organismp. 156
Modeling the Business Process Organismp. 157
Modeling the Software Organismp. 158
Disambiguating Essence and Accidentp. 159
Models Unfolding as Metaphorsp. 160
The Pace of Lifep. 160
Engineering Thriving Systemsp. 161
Referencesp. 161
Epiloguep. 163
Indexp. 165
Table of Contents provided by Ingram. All Rights Reserved.

ISBN: 9781849963015
ISBN-10: 1849963010
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 167
Published: 7th October 2010
Publisher: Springer London Ltd
Country of Publication: GB
Dimensions (cm): 23.5 x 15.5  x 1.27
Weight (kg): 0.43