Software Quality Management Module for Real-Time Development Monitoring
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Solution Overview
Problem
Software application development often fails to meet quality attribute requirements such as performance, maintainability, and security due to a lack of effective monitoring and adherence to quality guidelines during the development lifecycle.
Innovation Solution
A method and system for managing software application quality, which determines target quality values, identifies and analyzes parameters affecting quality, and provides real-time feedback through a processing unit, knowledge database, and quality management module, ensuring alignment with predefined guidelines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If focus is placed on functional requirements during low-level design and coding, then development productivity is improved, but quality attribute requirements (performance, maintainability, security) deteriorate
Solution Approach 1:
The system performs preliminary quality assessment by analyzing code against quality attributes during the development process itself, not after completion. The quality management module continuously evaluates performance, maintainability, and security attributes as code is written, enabling early detection and correction of quality issues before they become problems.
Solution Approach 2:
The system implements continuous feedback mechanisms by monitoring code quality attributes in real-time and providing feedback to developers. The quality management module analyzes code changes and provides immediate feedback on how functional requirements impact quality attributes, allowing developers to adjust their coding decisions to maintain both productivity and quality.
2Reliability
If architecture monitoring is implemented during the entire software development lifecycle, then quality attribute requirements are improved, but device complexity increases
Solution Approach 1:
The quality management module serves multiple functions simultaneously: it monitors performance attributes, maintainability attributes, security attributes, and provides feedback to developers. This multi-functional approach consolidates what would otherwise require separate monitoring systems for each quality attribute, reducing overall system complexity while maintaining comprehensive quality oversight throughout the development lifecycle.
Data Source
AI summary
A method and system for managing quality of a software application during software development lifecycle is disclosed. In one embodiment, the method includes determining target quality value associated with the software application being developed. Furthermore, the method includes determining parameters affecting quality of the software application. The method also includes determining parameters affecting quality of the software application. Additionally, the method includes outputting results of the analysis indicating real-time quality of the software application being developed.


