Defect Density Tracking in Code Base Management
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Solution Overview
Problem
Software development is challenging due to the complexity of managing code changes and defects across multiple developers and phases of the development cycle, where defects can be introduced or exacerbated during code modifications, making it difficult to track and improve code quality effectively.
Innovation Solution
A computing system comprising a code tracker, defect tracker, and defect density module that tracks changes and defects in a code base, allowing for the determination of defect density based on characteristics such as author, requirement, or time period, facilitating trend identification and quality improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If code is written by multiple developers during different phases of the software development cycle, then software functionality and complexity increase, but defect tracking and quality management become more difficult
Solution Approach 1:
The patent segments the code base into portions associated with different developers and time periods, and segments defect tracking into distinct phases (original code defects, modification-induced defects). This segmentation allows for organized tracking of defects by developer, time period, and code portion, making complex multi-developer defect management tractable through structured categorization.
2Reliability
If code modifications are made to address defects, then defect resolution improves, but new defects may be introduced
Solution Approach 1:
The patent implements feedback mechanisms by continuously monitoring defect densities after code modifications and comparing them against baseline densities from original code. When defect density increases following modifications, the system provides feedback indicating potential introduction of new defects, enabling developers to review and correct issues. This feedback loop helps maintain reliability while managing the risk of introducing new defects during modifications.
3Measurement precision
If detailed tracking of code changes and defects is implemented, then code quality analysis improves, but system complexity and resource requirements increase
Solution Approach 1:
The patent extracts and isolates the essential elements needed for defect density calculation (defect counts, code portion identifiers, developer identifiers, time period markers) from the complex code base and development process. By focusing tracking efforts on these extracted key elements rather than monitoring every aspect of code development, the system achieves precise code quality measurement while minimizing tracking system complexity and resource requirements.
Data Source
AI summary
A technique includes tracking changes to a code base using a source code management application; and maintaining a correlation between defects in the code base and changes addressing the defects. The technique includes determining a defect density in a subset of the code base associated with implementation of a requirement for the code base. Determining the defect density includes identifying how many defects are addressed by changes that modify the subset of the code base.