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🚀 DevTernity 2021: Adam Tornhill – Prioritizing Technical Debt as if Time and Money Matters
Prioritize technical debt like time and money matter, with expert Adam Tornhill, using code complexity metrics, behavioral code analysis, and refactoring techniques to optimize software quality and performance.
- Prioritizing technical debt is challenging because it can be difficult to identify and measure code complexity and technical debt, and to establish a clear impact of technical debt on software quality and performance.
- Code complexity can be measured using metrics such as cyclomatic complexity, which measures the number of possible execution paths through a function, and hotspot visualization, which shows the evolution of code complexity over time.
- Technical debt can be caused by a variety of factors, including poorly designed or overly complex code, lack of communication and coordination between developers, and unclear requirements.
- Behavioral code analysis can be used to identify areas of code that are likely to be problematic, and to measure the impact of technical debt on software quality and performance.
- Technical debt can be prioritized using techniques such as hotspot analysis, which identifies areas of code that are likely to be problematic, and behavioral code analysis, which measures the impact of technical debt on software quality and performance.
- Refactoring can be used to address technical debt, but it should be done in a way that minimizes disruption to the software and ensures that the refactored code is of high quality.
- Code health can be measured using metrics such as hotspot analysis, behavioral code analysis, and code complexity metrics.
- CodeSim, a tool for analyzing and visualizing code complexity, can be used to identify areas of code that are likely to be problematic and to measure the impact of technical debt on software quality and performance.
- Hotspots, areas of code that are likely to be problematic, can be used to identify areas of code that need to be refactored.
- Categorizing and prioritizing technical debt can help to ensure that the most important areas of code are addressed first.
- Pair programming and other collaboration techniques can be used to reduce the impact of technical debt and to ensure that knowledge is shared between developers.
- Refactoring should be done in a way that minimizes disruption to the software and ensures that the refactored code is of high quality.
- Code complexity and technical debt can be addressed through the use of tools such as CodeSim, which can help to identify areas of code that are likely to be problematic and to measure the impact of technical debt on software quality and performance.