Search Service Application Builder for Case Management
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Solution Overview
Problem
Building a search-based case management application is complex and time-consuming, requiring skilled programmers to write custom code for search capabilities, making it expensive and inefficient.
Innovation Solution
A computer-based system that allows business experts to design and deploy a search service application using a search service application builder component, which guides them through configuring search attributes, filters, facets, and sorts, and automatically generates custom code and deploys the search service application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If skilled programmers write custom code to enable search capabilities, then search functionality can be implemented, but the process becomes expensive and time-consuming
Solution Approach 1:
The system enables business experts to self-configure search services without requiring programmer intervention. The automated code generation and deployment mechanisms allow non-programmers to independently build and deploy search-based case management applications, eliminating the time loss associated with hiring skilled programmers.
Solution Approach 2:
The system performs preliminary actions by automatically generating code and configuring search indexing engines before the application is deployed. The build tool creates the necessary code structure, configures search parameters, and prepares the deployment package in advance, significantly reducing the time required during actual application building.
2Reliability
If skilled programmers write custom code for search capabilities, then search functionality is achieved, but development costs increase
Solution Approach 1:
Business experts perform the configuration and deployment tasks themselves using the automated build tool, eliminating the need to hire expensive skilled programmers. The system empowers non-programmers to independently create and deploy search services, directly reducing development costs.
Solution Approach 2:
The system replaces the manual mechanical process of writing custom code with an automated build tool that generates code and configures search services automatically. This substitution eliminates the need for human programmers, reducing labor costs while maintaining search functionality.
3Reliability
If programmers configure search indexing engines and document analyzers, then search capabilities are enabled, but the process becomes complex
Solution Approach 1:
The build tool acts as an intermediary between business experts and the complex search configuration system. It translates simple user inputs into the complex configurations required for search indexing engines and document analyzers, shielding users from the underlying complexity while ensuring proper search capability configuration.
Solution Approach 2:
The system replaces the complex manual configuration process with automated code generation. The build tool automatically creates and configures search indexing engines and document analyzers based on high-level user specifications, eliminating the need for programmers to manually navigate complex configuration interfaces.
4Ease of operation
If automated code generation is used to reduce programming requirements, then application building is simplified, but search service configuration is not supported
Solution Approach 1:
The build tool is designed with multi-functionality, handling both automated code generation for application building and configuration of search services within a single unified system. This universal tool eliminates the need for separate programming steps while simultaneously supporting search service configuration, maintaining both ease of operation and adaptability.
Data Source
AI summary
The system includes a search service application builder that provides a search model. The search model represents a search service application for an object. The search model uses an end-user input field for a first attribute for the object and a user-defined search result output field for a second attribute of the object. The search model has code to generate a user interface. The interface includes an input section for receiving values for the first attribute and a search results section for outputting values of the second attribute. The interface also includes code to generate a search query using a search query model for a selected query type. The interface also includes code to receive search result data returned in response to the search query and code to format the search result data for the search results section.


