Abstract Specification of PKC

The following logic model prescribes the Abstract Specification of PKC:

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The correctness verification function must be future-proof, avoiding architectural changes that create incompatibility and potential logical inconsistencies across PKC-using communities. This architectural presumption is based on the compositional nature of data, which is scale-free and medium-independent so that the fundamental system design should not need to be modified frequently. PKC's system architecture specification must eliminate design dependencies on extant data storage, communication, and computation tools in order to allow for continuous improvement without jeopardizing the primary function of automating logical correctness evaluation. The architectural requirements document will systematically distinguish between logical and implementation requirements. In a Logic Model template, it is a means to manage the content knowledge regarding correctness verification. The methodology and documentation principle will reference "Specifying Systems" by Leslie Lamport in order to adhere to the custom of segregating logical specifications from implementation. This abstract specification document will be distributed alongside all deployed copies of the PKC's concrete implementation, and will serve as the rationale for ongoing system architectural design decisions.

Logic Model (Abstract Specification of PKC) Template:LogicModel 03 29, 2023
Abstract Specification Context Given the automated content generation workflow enabled by GPT/LLM, individual users need PKC to automate the correctness verification process of content data. Goal Ensure PKC will be a system that is future-proof and scalable, eliminating design dependencies on existing technologies. Success Criteria The PKC system architecture specification is independent of specific data storage, communication, and computation tools. The system design does not need frequent modification, as the fundamental compositional nature of data is scale-free and medium-independent. The correctness verification function is automated and can evaluate the logical correctness of cryptographic functions. The abstract specification document is distributed alongside all deployed copies of the PKC's concrete implementation. The system architecture specification serves as the rationale for ongoing system architectural design decisions.
Concrete Implementation Given Inputs When Process is executed... Then, we get Outputs Existing system architecture specifications and design documents of the previous generation of PKC. Update-to-date knowledge about Data-intensive system design methodology and knowledge representation tools. Specifying Systems by Leslie Lamport. A data flow that resembles the Read-Evaluate-Print-Loop(REPL) mechanism to recursively refine data content. Encode all data content references in terms of Logic Model textual mark up with hyperlinks. The main data content of this project only relates to the abstract specification of PKC. Submit the updated data content to a sufficiently redundant data storage service during process execution. An architecture specification for PKC that is grounded in mathematically sound statements. Provide rationale and selection criteria for technological roadmap based on the mathematically sound statements mentioned earlier. An open-source PKC implementation document that specifies how to implement automatic correctness evaluation of data content in terms of temporal sequence and accountable authorship.
Boundary/Safety Conditions of Abstract Specification of PKC The PKC system architecture specification might be irrelevant due to revolutionary or competing solutions that were not known to the designers becoming available. Unforeseen insights into what data or computational should be better represented becoming available and requires significant modification of this specification. All changes of PKC content should be version controlled and replicated with multiple copies.