مقایسهٔ روشها
روشهای انتخابی خود را کنار هم مرور کنید؛ ردیفهای متفاوت برجسته شدهاند.
| شناسایی بوی معماری× | اندازهگیری بدهی فنی× | |
|---|---|---|
| حوزه | مهندسی نرمافزار | مهندسی نرمافزار |
| خانواده | Process / pipeline | Process / pipeline |
| سال پیدایش≠ | 2009 | 1992 |
| پدیدآور≠ | Martin Fowler and García et al. | Ward Cunningham |
| نوع≠ | pattern-based analysis | quantitative assessment |
| منبع بنیادین≠ | Fowler, M. (2018). Code smell. Martin Fowler's Website. link ↗ | Cunningham, W. (1992). The WyCash Portfolio Management System. OOPSLA 92 Experience Report. link ↗ |
| نامهای دیگر | design smell detection, architectural debt analysis, system quality assessment | debt metrics, code health scoring, maintenance burden assessment |
| مرتبط | 4 | 4 |
| خلاصه≠ | 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. | Technical debt represents accumulated shortcuts, deferred maintenance, and design compromises that incur future costs through slower development, higher defect rates, and deployment difficulty. Introduced by Ward Cunningham (1992), technical debt measurement quantifies these burdens using metrics like code complexity, duplication, test coverage gaps, and maintainability indices. Organizations use debt measurement to balance immediate delivery with long-term sustainability. |
| ScholarGateمجموعهداده ↗ |
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