विधियों की तुलना करें

	समतुल्यता विभाजन परीक्षण (Equivalence Partitioning Testing)	दोष पूर्वानुमान मॉडल
क्षेत्र	सॉफ्टवेयर इंजीनियरिंग	सॉफ्टवेयर इंजीनियरिंग
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	1979	2005
प्रवर्तक	Glenford Myers	Thomas Ostrand, Elaine Weyuker, Robert Bell
प्रकार	partitioning strategy	machine learning model
मौलिक स्रोत	Myers, G. J. (1979). The Art of Software Testing. John Wiley & Sons.	Ostrand, T. J., Weyuker, E. J., & Bell, R. M. (2005). Predicting the location and number of faults in large software systems. IEEE Transactions on Software Engineering, 31(4), 340–355.
उपनाम	equivalence partitioning, BVA, boundary value analysis	fault prediction, bug prediction, defect classification
संबंधित	4	4
सारांश	Equivalence partitioning divides input domains into equivalence classes—sets of inputs expected to behave identically—then selects test cases from each class. Introduced by Myers (1979), this technique reduces test cases while maintaining effectiveness. Boundary value analysis (BVA) complements partitioning by testing values at partition boundaries where failures often occur.	Defect prediction models forecast the likelihood of software faults in code modules using statistical or machine learning approaches. Pioneered by Ostrand, Weyuker, and Bell (2005), these models correlate code metrics (complexity, churn, coupling) with historical defect data to identify high-risk components. Organizations use predictions to allocate testing resources, guide code review, and prioritize refactoring.