Software Generation Environment Assessment System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for assessing software generation environments are inefficient and time-consuming, requiring improvements to identify and address weaknesses in these environments for enhanced software generation processes and product quality.
Innovation Solution
A method and system that identify software generation environment characteristics, generate queries with numerical score options, receive user responses, compute and display scores for each characteristic, and sum these scores to provide a total assessment, facilitating efficient evaluation and improvement of software generation environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current assessment methods are used, then comprehensive evaluation of software generation environment can be achieved, but the process requires considerable length of time and is inefficient
Solution Approach 1:
The assessment system divides the software generation environment evaluation into multiple distinct characteristics (portability, reusability, maintainability, etc.), each assessed through separate queries with specific response choices. This segmentation allows the comprehensive assessment to be broken down into manageable, independently scorable components that can be processed efficiently.
Solution Approach 2:
The system transforms qualitative assessment criteria into quantitative parameters by assigning numerical scores to different response choices. Each characteristic is measured using standardized parameters (numerical scores) that can be automatically computed and aggregated, enabling efficient processing while maintaining assessment comprehensiveness.
2Reliability
If detailed SGE characteristic assessment is performed, then weaknesses can be identified, but the complexity of the assessment system increases
Solution Approach 1:
The assessment system segments the complex evaluation task into distinct characteristics (portability, reusability, maintainability, etc.), each with its own set of queries and scoring criteria. This segmentation reduces perceived complexity by organizing the assessment into manageable sections while maintaining comprehensive coverage for accurate weakness identification.
Solution Approach 2:
Each SGE characteristic is assessed with localized, specific queries tailored to that particular attribute. For example, portability has its own set of queries about platform independence, while reusability has queries about component reuse. This local quality approach ensures each aspect is evaluated with appropriate depth without requiring the entire system to be overly complex.
Data Source
AI summary
A method and system for assessing a software generation environment (SGE). The SGE has a plurality of SGE characteristics. At least one query is generated for each SGE characteristic. Each query has a plurality of response choices and each response choice has a numerical score. A selected response choice is received for each query. A SGE score is computed and displayed for each SGE characteristic. The SGE score for each SGE characteristic is equal to a summation of the numerical scores associated with the selected response choices for the SGE characteristic. A total score is computed and displayed, wherein the total score is equal to a summation of the SGE scores.