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Meta Ticket: Ticket Splitting and Execution Framework
Objective
Create a system that treats tickets as programs, enabling their automatic decomposition into subtasks. Each ticket URL becomes a semantic web resource representing its meaning, definitions, and role in the holonic structure of the repository as an ontology.
Requirements
Ticket Splitting Mechanism
Functionality:
Analyze tickets to identify subtasks based on structure, complexity, and dependencies.
Split tickets into atomic subtasks, each addressing a specific component or deliverable.
Implementation:
Use natural language processing (NLP) to parse ticket descriptions.
Apply semantic analysis to determine relationships and dependencies.
Maintain context and continuity across subtasks.
Semantic Web Integration
Ticket as a Semantic Resource:
Each ticket URL serves as a semantic web resource with:
Metadata: Creator, timestamp, priority, etc.
Definitions: Contextual information for interpretation.
Role: Position and function within the holon.
Ontology of the Repository:
Define the repository as an ontology, representing the relationships between:
Tickets (tasks and subtasks).
Contributors (roles, expertise).
Code, documentation, and artifacts.
Execution Framework
Self-Describing Tickets:
Tickets act as small programs with embedded logic to:
Define their constraints.
Specify their inputs and outputs.
Link to related tickets or holonic elements.
Process Automation:
Workflow automation triggers actions based on ticket updates (e.g., new branches, PRs, or linked resources).
Meta Operations
Ticket Operations:
Combine tickets (merge).
Decompose tickets (split).
Convert tickets into ZKPs or Meme Coins.
Meta Ticket Functionality:
Create, manage, and resolve meta-tickets that govern other tickets.
Ensure traceability and provenance for all subtask relationships.
Technical Stack
Backend: Python/Node.js for ticket processing logic.
NLP Libraries: SpaCy or Hugging Face for ticket parsing and semantic analysis.
Semantic Web Tools:
RDF and OWL for defining ticket ontologies.
SPARQL for querying ticket relationships.
Git Integration: GitHub/GitLab APIs for ticket and repository management.
Deliverables
Automated Ticket Processor: Service to split tickets into subtasks, linking them via semantic definitions.
Semantic Ticket URL Generator: Framework to turn ticket URLs into rich semantic resources.
Ontology Schema: Representation of the repository as a holonic ontology.
Documentation: Explain system usage, integration, and expansion for contributors.
Would you like to add specific examples or integrate this framework with the other tickets?
The text was updated successfully, but these errors were encountered:
Meta Ticket: Ticket Splitting and Execution Framework
Objective
Create a system that treats tickets as programs, enabling their automatic decomposition into subtasks. Each ticket URL becomes a semantic web resource representing its meaning, definitions, and role in the holonic structure of the repository as an ontology.
Requirements
Functionality:
Analyze tickets to identify subtasks based on structure, complexity, and dependencies.
Split tickets into atomic subtasks, each addressing a specific component or deliverable.
Implementation:
Use natural language processing (NLP) to parse ticket descriptions.
Apply semantic analysis to determine relationships and dependencies.
Maintain context and continuity across subtasks.
Ticket as a Semantic Resource:
Each ticket URL serves as a semantic web resource with:
Metadata: Creator, timestamp, priority, etc.
Definitions: Contextual information for interpretation.
Role: Position and function within the holon.
Ontology of the Repository:
Define the repository as an ontology, representing the relationships between:
Tickets (tasks and subtasks).
Contributors (roles, expertise).
Code, documentation, and artifacts.
Self-Describing Tickets:
Tickets act as small programs with embedded logic to:
Define their constraints.
Specify their inputs and outputs.
Link to related tickets or holonic elements.
Process Automation:
Workflow automation triggers actions based on ticket updates (e.g., new branches, PRs, or linked resources).
Ticket Operations:
Combine tickets (merge).
Decompose tickets (split).
Convert tickets into ZKPs or Meme Coins.
Meta Ticket Functionality:
Create, manage, and resolve meta-tickets that govern other tickets.
Ensure traceability and provenance for all subtask relationships.
Technical Stack
Backend: Python/Node.js for ticket processing logic.
NLP Libraries: SpaCy or Hugging Face for ticket parsing and semantic analysis.
Semantic Web Tools:
RDF and OWL for defining ticket ontologies.
SPARQL for querying ticket relationships.
Git Integration: GitHub/GitLab APIs for ticket and repository management.
Deliverables
Automated Ticket Processor: Service to split tickets into subtasks, linking them via semantic definitions.
Semantic Ticket URL Generator: Framework to turn ticket URLs into rich semantic resources.
Ontology Schema: Representation of the repository as a holonic ontology.
Documentation: Explain system usage, integration, and expansion for contributors.
Would you like to add specific examples or integrate this framework with the other tickets?
The text was updated successfully, but these errors were encountered: