Metadata-Driven Business Object Template with Logic Hooks
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Solution Overview
Problem
Current systems require manual creation and design of business logic for business objects, which is time-consuming and resource-intensive, especially since developers must manually identify locations for specific business logic within these objects.
Innovation Solution
The use of meta-data to create a business object template with hooks for calling generic business logic, allowing developers to modify and insert specific business logic efficiently, thereby reducing manual intervention and increasing productivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual creation and design of business logic is used, then business objects can be created with custom business logic, but the process is time-consuming and resource-intensive
Solution Approach 1:
The system performs preliminary action by automatically generating business logic code and identifying insertion locations before the developer needs to customize it. The adapter pre-processes meta-data to create templates with placeholder code, so developers only need to modify pre-generated content rather than create everything from scratch.
Solution Approach 2:
The system enables self-service by allowing meta-data to automatically generate the shell and business logic structure of business objects without manual intervention. The adapter autonomously processes meta-data definitions and produces ready-to-use code templates, reducing the need for manual programming work.
2Manufacturing precision
If manual identification of business logic locations is required, then precise placement of business logic can be achieved, but developer time and effort increase significantly
Solution Approach 1:
The adapter performs self-service by automatically analyzing meta-data and determining the precise locations where business logic should be inserted. The system autonomously identifies insertion points within the business object template without requiring manual code review or analysis by developers.
Solution Approach 2:
The system replaces the mechanical process of manual code analysis with an automated computational process. The adapter uses algorithmic processing to scan meta-data definitions and automatically determine business logic insertion locations, substituting manual intellectual effort with automated software processing.
3Ease of manufacture
If meta-data is used to create only the shell of business objects, then the structure can be defined efficiently, but the business objects lack real business logic
Solution Approach 1:
The system performs preliminary action by pre-generating not just the shell but also the business logic code and identifying insertion locations. The adapter processes meta-data to create complete templates including placeholder business logic, so the business object is pre-prepared with both structure and functionality before developer intervention.
Solution Approach 2:
The adapter serves multiple functions: it creates the business object shell, generates business logic code, identifies insertion locations, and produces ready-to-use templates. This multi-functional approach consolidates what would otherwise require separate manual processes into a single automated operation.
Data Source
AI summary
Systems, methods and computer readable media are provided for the creation of a business object. In one exemplary embodiment, the method may include defining the shell of a business object utilizing meta-data stored within a repository. The method may also include storing the defined business object shell within the repository. Moreover, the method may include generating a business object template utilizing the business object shell, meta-data, and hooks for calling generic business logic, and modifying the hooks to insert the generic business logic.