logic-modeling

What problem does it solve?

This Skill automates the creation of crucial sections (3.2.2-3.2.4) in a Software Requirements Specification (SRS) document, transforming business rules and technical specifications into precise logic and data definitions.

Core Features & Use Cases

• Process Description Generation: Translates business rules into formal process descriptions using Transition Models, detailing inputs, algorithms (including IF-THEN-ELSE logic), and affected entities.
• Data Construct Specification: Defines data structures required by the processes, ensuring alignment with reliability and analysability targets.
• Data Dictionary Creation: Generates a detailed data dictionary specifying field representations, units, and ranges based on the chosen database technology (MySQL or PostgreSQL).
• Use Case: After defining business rules for an e-commerce platform, use this Skill to automatically generate the detailed logic for order processing, payment handling, and inventory updates, ensuring all calculations are precisely defined and data types are correctly specified for the target database.

Quick Start

Run the python logic_modeling.py script from the logic-modeling directory to generate SRS sections 3.2.2 through 3.2.4.