قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| اختبار التقسيم التكافؤي× | نموذج التنبؤ بالعيوب× | |
|---|---|---|
| المجال | هندسة البرمجيات | هندسة البرمجيات |
| العائلة | Process / pipeline | Process / pipeline |
| سنة النشأة≠ | 1979 | 2005 |
| صاحب الطريقة≠ | Glenford Myers | Thomas Ostrand, Elaine Weyuker, Robert Bell |
| النوع≠ | partitioning strategy | machine learning model |
| المصدر التأسيسي≠ | Myers, G. J. (1979). The Art of Software Testing. John Wiley & Sons. link ↗ | 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. DOI ↗ |
| الأسماء البديلة | equivalence partitioning, BVA, boundary value analysis | fault prediction, bug prediction, defect classification |
| ذات صلة | 4 | 4 |
| الملخص≠ | 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. |
| ScholarGateمجموعة البيانات ↗ |
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