विधियों की तुलना करें

	आर्किटेक्चर स्मेल डिटेक्शन	सॉफ्टवेयर जटिलता मेट्रिक्स
क्षेत्र	सॉफ्टवेयर इंजीनियरिंग	सॉफ्टवेयर इंजीनियरिंग
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	2009	1976
प्रवर्तक	Martin Fowler and García et al.	Thomas J. McCabe
प्रकार	pattern-based analysis	quantitative measurement
मौलिक स्रोत	Fowler, M. (2018). Code smell. Martin Fowler's Website.	McCabe, T. J. (1976). A complexity measure. IEEE Transactions on Software Engineering, 2(4), 308–320.
उपनाम	design smell detection, architectural debt analysis, system quality assessment	code complexity analysis, complexity measurement
संबंधित	4	4
सारांश	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.	Software complexity metrics quantify the structural and operational difficulty of code through numerical measurements. Introduced by Thomas McCabe in 1976, cyclomatic complexity became the foundational approach. These metrics assess maintainability, testability, and defect risk, enabling teams to identify problematic code regions and guide refactoring efforts.