Editing Recommender for Information Model Completeness
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Solution Overview
Problem
In software development, administrators face challenges in recognizing and editing information models due to the lack of awareness about the information used by function templates, leading to redundant editing work and increased workload, as they struggle to identify missing information and its appropriate setting within the models.
Innovation Solution
An information processing apparatus is developed that includes an acquirer and an editing recommender. The acquirer gathers content for editing the information model, while the editing recommender suggests edits based on applicable function templates or models, recommending information to be set to the information model, thereby reducing the need for administrators to manually identify and update missing information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If administrators manually edit information models without automated assistance, then they have full control over editing decisions, but the workload increases and efficiency decreases due to the need to identify and set all required information manually
Solution Approach 1:
The system performs self-service by automatically analyzing function templates and information models to detect missing information and generate editing recommendations without requiring manual intervention from administrators, thereby improving productivity while maintaining ease of operation
Solution Approach 2:
The system implements feedback by providing automated editing recommendations to administrators based on the analysis of information models and function templates, guiding them through the editing process and reducing the cognitive load of identifying missing information
2Reliability
If administrators are required to consider all function templates when editing information models, then completeness of information is improved, but the complexity of the editing process increases and becomes troublesome
Solution Approach 1:
The system extracts the complex task of analyzing all function templates and identifying missing information from the administrator's workload, performing this analysis automatically and presenting only the relevant editing recommendations, thereby maintaining reliability while reducing perceived complexity
Solution Approach 2:
The system acts as an intermediary between the information model and function templates, automatically analyzing the relationships and generating editing recommendations that bridge the gap between these two components, simplifying the editing process while ensuring completeness
3Reliability
If administrators perform rework to add missing information to information models, then the completeness and usability are improved, but time is lost due to the need to perform editing work again
Solution Approach 1:
The system performs preliminary action by automatically detecting missing information and generating editing recommendations before administrators complete the editing process, preventing the need for rework and the associated time loss while ensuring the information model is complete and usable
Data Source
AI summary
One embodiment of the present invention provides an information processing apparatus which detects lack of information set to an information model and recommends editing. An information processing apparatus which is one embodiment of the present invention includes an acquirer and an editing recommender. The acquirer acquires content to be edited for the information model. The editing recommender outputs information which recommends editing the information model on the basis of a function template to which information set to the information model is applicable or a function model to which the information set to the information model is applied, and the content to be edited.