Methoden vergelijken

	Equivalencepartitioneringstest	Model voor defectvoorspelling
Vakgebied	Software-engineering	Software-engineering
Familie	Process / pipeline	Process / pipeline
Jaar van ontstaan	1979	2005
Grondlegger	Glenford Myers	Thomas Ostrand, Elaine Weyuker, Robert Bell
Type	partitioning strategy	machine learning model
Oorspronkelijke bron	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.
Aliassen	equivalence partitioning, BVA, boundary value analysis	fault prediction, bug prediction, defect classification
Verwant	4	4
Samenvatting	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.