Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Сложность Хэлстеда× | Цикломатическая сложность× | |
|---|---|---|
| Область | Численные методы | Численные методы |
| Семейство | Machine learning | Machine learning |
| Год появления≠ | 1977 | 1976 |
| Автор метода≠ | Maurice Halstead | Thomas McCabe |
| Тип≠ | Static code analysis metric | Control-flow complexity metric |
| Основополагающий источник≠ | Halstead, M. H. (1977). Elements of Software Science. Elsevier. ISBN: 0444002057 | McCabe, T. J. (1976). A complexity measure. IEEE Transactions on Software Engineering, SE-2(4), 308–320. DOI ↗ |
| Другие названия | Halstead metrics, program length, volume metric | CC, cyclomatic number, McCabe complexity |
| Связанные | 1 | 1 |
| Сводка≠ | Halstead Complexity Metrics are a set of static code analysis measures developed by Maurice Halstead in 1977 that quantify software quality using operator and operand counts. Metrics like program volume, difficulty, and effort estimate code complexity, maintainability, and defect likelihood from source code structure alone. | Cyclomatic Complexity (CC), introduced by Thomas McCabe in 1976, is a quantitative metric measuring the number of linearly independent paths through a function's control-flow graph. A function with high cyclomatic complexity is harder to understand, test, and maintain; McCabe advocated a threshold of 10 as the complexity limit for maintainability. |
| ScholarGateНабор данных ↗ |
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