Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Обнаружение архитектурных запахов× | Статический анализ кода× | |
|---|---|---|
| Область | Программная инженерия | Программная инженерия |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2009 | 2001 |
| Автор метода≠ | Martin Fowler and García et al. | David Engler and William Pugh |
| Тип≠ | pattern-based analysis | automated analysis |
| Основополагающий источник≠ | Fowler, M. (2018). Code smell. Martin Fowler's Website. link ↗ | Chess, B., & West, J. (2007). Secure Programming with Static Analysis. Addison-Wesley Professional. link ↗ |
| Другие названия | design smell detection, architectural debt analysis, system quality assessment | static analysis, code inspection, automated review |
| Связанные | 4 | 4 |
| Сводка≠ | Architecture smells are recurring patterns in system structure that indicate potential design problems. Introduced by García et al. (2009), these patterns signal violations of architectural principles (modularity, independence, abstraction) at system scale. Detection combines code metrics, dependency analysis, and pattern recognition to identify smells early, guiding refactoring and architectural improvements. | Static code analysis automatically examines source code without execution, detecting potential bugs, security vulnerabilities, code smells, and style violations. Pioneered by Engler and Pugh (2001), automated analysis tools scan codebases at scale, identifying defect patterns faster than manual review. Organizations integrate static analysis into continuous integration pipelines to prevent defects early. |
| ScholarGateНабор данных ↗ |
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