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SISTER 8165 Impact of Code Complexity On Software Analysis Charles D. De Oliveira Elizabeth Long Paul E. Black This publication is available free of charge from: https://doi.org/10.6028/NIST.IR.8165
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How to fill out impact of code complexity

01
Start by understanding the codebase and the purpose of the project.
02
Identify the different components or modules that make up the codebase.
03
Determine the factors that contribute to code complexity, such as the number of lines of code, the nesting level of conditionals, the number of dependencies, etc.
04
Use code analysis tools or metrics to assess the complexity of the codebase.
05
Evaluate the impact of code complexity by considering its effect on maintainability, readability, and overall software quality.
06
Develop a plan to reduce code complexity, such as refactoring code, breaking down large functions into smaller ones, eliminating duplicate code, etc.
07
Implement the necessary changes to the codebase to reduce complexity.
08
Periodically review and reassess the codebase to ensure that code complexity is kept in check and does not increase over time.

Who needs impact of code complexity?

01
Software developers and engineers who are responsible for maintaining and extending codebases.
02
Project managers and team leads who need to assess the quality and maintainability of the codebase.
03
Quality assurance teams who need to identify potential issues or bugs caused by code complexity.
04
Organizations or individuals who want to improve the overall performance and efficiency of their software applications.
05
Academic researchers or students studying software engineering or code quality.
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Code complexity refers to how difficult it is to understand and maintain a section of code. High code complexity can lead to more bugs and make it harder for developers to make changes or improvements.
Developers and software engineers are typically responsible for assessing and reporting on the impact of code complexity.
To fill out impact of code complexity, developers can use tools like static code analysis or code reviews to identify areas of high complexity and document the potential impacts.
The purpose of assessing code complexity is to improve code quality, reduce bugs, and make it easier for developers to work on and maintain the codebase.
Information that should be reported on impact of code complexity includes the measurements of code complexity, areas of high complexity, potential impacts on the software, and any proposed solutions.
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