CAF Home / Framework
Editorial foundation for CAF: problem definition, why context is lost, and core constructs. This section is under development.
Last updated: to be set
Problem
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Theory
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Principles
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Patterns
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Reference Architecture
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Reference Implementation
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Research
CAF is a software architecture framework under active development that treats Context as a central architectural construct rather than transient execution data.
Enterprise systems routinely lose or obscure Context, leading to brittle integrations, duplicated logic, and limited observability.
Context is scattered across layers, requests, and services, frequently reduced to parameters and local state that cannot persist across boundaries.
CAF treats Context as a durable, queryable architectural object that can be modeled, validated, and propagated across the execution lifecycle.
Active Context denotes Context that directly informs runtime decisions, orchestration, and policy evaluation.
Runtime Context is the operational view of Context during execution available to services, workflows, and integrations to maintain continuity across steps.
CAF considers creation, enrichment, validation, usage, propagation, persistence, and retirement of Context across system boundaries.
Principle 1: Context as a First-Class Architectural Asset
Principle 2: Context Persistence
Principles 357 are in development and will be published with the book.
CAF documents patterns for modeling, propagating, and governing Context. Details will be published progressively.
CAF also catalogs anti-patterns that cause Context loss, parameter explosion, and fragile orchestration.
The reference architecture demonstrates how Context flows across services, workflows, and integrations. A large diagram is provided on the home page.
CAF is validated through a working reference implementation in Microsoft Dynamics 365 Business Central. CAF remains platform-independent; Business Central is used exclusively as the primary validation platform.
The book and supporting research will provide formal definitions, principles, patterns, and empirical validation results as development progresses.