Generative Analysis: The Power of Generative AI for Object-Oriented Software Engineering with UML (Early Release)

Cover Page
Title Page
Contents
Table of Contents
Preface
   About this book
   Who this book is for
About the Authors
Chapter 1: Generative Analysis for Generative AI
   1.1 Introduction
   1.2 Chapter contents
   1.3 Communication and Neuro Linguistic Programming (nlp)
   1.4 Abstraction
   1.5 Finding the right level of abstraction for Generative AI
   1.6 Choice of Generative AI
   1.7 Applying Generative AI to an example problem domain
   1.8 Modeling in Generative Analysis
   1.9 Chapter Summary
Chapter 2: Launching OLAS, the example project
   2.1 Introduction
   2.2 Chapter contents
   2.3 OLAS - the problem domain
   2.4 Software engineering processes
   2.5 The Unified Process (UP)
   2.6 P structure
   2.7 UP workflows
   2.8 UP phases
   2.9 The UP Phases in the world of Generative AI
   2.10 The OLAS inception phase
   2.11 The OLAS Vision Statement
   2.12 Keep all documents as concise as possible
   2.13 Chapter summary
Chapter 3: Capturing information in Generative Analysis
   3.1 Introduction
   3.2 Chapter contents
   3.3 Capturing informal, unstructured information
   3.4 Mind Mapping
   3.5 Concept Mapping
   3.6 Dialog Mapping
   3.7 Antipatterns in Mapping meetings
   3.8 Generative AI and Mapping meetings
   3.9 Structured writing
   3.10 Structured Documents
   3.11 Principles for structuring information
   3.12 Structured Writing example
   3.13 Complexity vs. profundity?
   3.14 Chapter Summary
Chapter 4: OLAS Elaboration Phase
   4.1 Introduction
   4.2 Chapter contents
   4.3 Concept Mapping OLAS
   4.4 Creating a first-cut logical architecture
   4.5 Using Generative AI to kick-start the OLAS Logical Architecture
   4.6 How to validate the First-Cut Logical Architecture
   4.7 Chapter Summary
Chapter 5: Communication
   5.1 Introduction
   5.2 Chapter contents
   5.3 Communication in Generative Analysis
   5.4 Flexibility is the key to excellent communication
   5.5 Semiotics and the structure of meaning
   5.6 Ontology
   5.7 Metaphor
   5.8 Constructing the Generative Analysis model of human communication
   5.9 The Generative Analysis communication model
   5.10 Chapter summary
Chapter 6: M++
   6.1 Introduction
   6.2 Chapter contents
   6.3 The nlp Meta Model and M++
   6.4 The M++ pattern template
   6.5 Deletion
   6.6 Generalization
   6.7 Distortion
   6.8 More about propositional functions
   6.9 Using M++ in Generative Analysis
   6.10 Key points for applying M++
   6.11 Summary
Chapter 7: Literate Modeling
   7.1 Introduction
   7.2 Chapter contents
   7.3 Limitations of visual models as conveyors of meaning
   7.4 The solution—Literate Modeling
   7.5 Creating a Business Context Document (BCD)
   7.6 Structure of the BCD
   7.7 Learn Literate Modeling by example
   7.8 Leveraging Generative AI for Literate Modeling
   7.9 Integrating engineered prompts with BCDs
   7.10 Chapter summary
Chapter 8: Information in Generative Analysis
   8.1 Introduction
   8.2 Chapter contents
   8.3 Conversations with Generative AI
   8.4 The Generative Analysis Information Model
   8.5 Classifying information
   8.6 Information
   8.7 Resource
   8.8 Question
   8.9 Proposition
   8.10 Idea
   8.11 Requirement
   8.12 Term
   8.13 Chapter summary
Chapter 9: Generative Analysis by Example
   9.1 Introduction
   9.2 Chapter contents
   9.3 How to perform Generative Analysis
   9.4 Identifying the Information types
   9.5 Semantic highlighting
   9.6 Finding Resources using Generative AI
   9.7 Finding Terms
   9.8 Key Statement analysis
   9.9 Line-by-line Generative Analysis of the OLAS Vision Statement
   9.10 Publishing your Generative Analysis results
   9.11 Controlling the GA activity
   9.12 Chapter summary
Chapter 10: Use case modeling OLAS
   10.1 Chapter contents
   10.2 The first-cut use case model
   10.3 Avoiding analysis paralysis in use case modeling
   10.4 How to produce the first-cut use case model
   10.5 Use case modelling OLAS
   10.6 Using Generative AI in use case modelling
   10.7 Patterns in use case modelling - CRUD
   10.8 Structuring the use case model
   10.9 The homonym problem
   10.10 Common mistakes in use case modeling
   10.11 Next steps in Generative Analysis of OLAS
   10.12 Chapter summary
Chapter 11: The Administration Subsystem
   11.1 Introduction
   11.2 Chapter contents
   11.3 Elaborating the Administration subsystem
   11.4 Writing CRUD use cases
   11.5 Administration: Create
   11.6 Administration: Read
   11.7 Administration: Update
   11.8 Administration: Delete
   11.9 Administration use cases wrap up
   11.10 Use case realization for the Administration use cases
   11.11 Creating a class diagram
   11.12 Administration wrap-up
   11.13 Generating a behavioural prototype
   11.14 Chapter Summary
Chapter 12: The Security subsystem
   12.1 Introduction
   12.2 Chapter contents
   12.3 The Security subsystem
   12.4 OLAS security policy
   12.5 LogOn use case specification
   12.6 UnfreezeAccount use case specification
   12.7 LogOff use case specification
   12.8 Use case realization for the Security subsystem
   12.9 Creating sequence diagrams
   12.10 Chapter summary
Chapter 13: The Catalog subsystem
   13.1 Introduction
   13.2 Chapter contents
   13.3 The Normal and Restricted Collections
   13.4 Modeling the Normal and Restricted Catalogs
   13.5 The Type/Instance pattern
   13.6 Type/Instance: Elements Similar for the OLAS catalogs
   13.7 Creating a class model for the catalogs
   13.8 The NormalCatalog subsystem use case model
   13.9 Reuse with modification strategy for the RestrictedCatalog subsystem
   13.10 The RestrictedCatalog subsystem use case model
   13.11 Generative AI for use case realization
   13.12 Catalog subsystem wrap-up
   13.13 Chapter Summary
Chapter 14: The Loan subsystem
   14.1 Introduction
   14.2 Chapter contents
   14.3 The Loan subsystem CRUD analysis
   14.4 What is a loan?
   14.5 Loan subsystem: Create
   14.6 State machines for the Loan subsystem
   14.7 Loan subsystem: Read
   14.8 Fines
   14.9 OLASUser class state machine
   14.10 Loan subsystem: Update
   14.11 Loan subsystem: Delete
   14.12 Library vacations
   14.13 LibraryVacation: Use case model
   14.14 Trust no one
   14.15 Loan subsystem wrap-up
   14.16 Chapter Summary
Chapter 15: The Innsmouth interface
   15.1 Introduction
   15.2 Chapter contents
   15.3 Exchanging catalog information
   15.4 How should the catalog sharing be handled in OLAS?
   15.5 Updating the InnsmouthInterface use case model
   15.6 Getting the Gilman Catalog
   15.7 Generating the OLAS export mechanism for the restrictedCatalog
   15.8 The Innsmouth Interface wrap-up
   15.9 Chapter summary
Chapter 16: Milton++
   16.1 Introduction
   16.2 Chapter contents
   16.3 Communication trances
   16.4 Rapport
   16.5 Your unconscious mind
   16.6 Trance and Generative AI
   16.7 The Milton Model and Milton++
   16.8 Distortion, deletion, and generalization in Milton++
   16.9 Distortion
   16.10 Deletion
   16.11 Generalization
   16.12 Chapter summary
Summary
Bibliography