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Do Bugs Reside in Complex Code?
The document discusses various myths and misconceptions in software engineering. It summarizes research that analyzed large codebases to determine factors correlated with defects. Metrics like lines of code and complexity metrics correlated with defects, but the relationship depended on the project. Defect-prone modules could be predicted by combining metrics. Other factors like developer experience, prior defects, language features, and dependencies also influenced bugs. While some properties were project-specific, others like the role of requirements, design, coding and testing were universal defect sources.
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