Modeli ya Ut napaji wa Kasoro
Modeli za ut napaji wa kasoro hutabiri uwezekano wa hitilafu za programu katika moduli za kodi kwa kutumia mbinu za takwimu au mashine kujifunza. Zilizobuniwa na Ostrand, Weyuker, na Bell (2005), modeli hizi huunganisha vipimo vya kodi (ugumu, mabadiliko, kuunganishwa) na data ya kasoro za kihistoria ili kutambua vipengele vilivyo katika hatari kubwa. Mashirika hutumia utabiri kuweka rasilimali za upimaji, kuongoza ukaguzi wa kodi, na kutanguliza urekebishaji.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- 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: 10.1109/tse.2005.49 ↗
- Nagappan, N., Ball, T., & Zeller, A. (2006). Mining metrics to predict component failures. In Proceedings of the 28th International Conference on Software Engineering (pp. 452–461). DOI: 10.1145/1134285.1134349 ↗
- Menzies, T., Greenwald, J., & Russ, P. (2007). Problems with precision: A response to comments on 'Data mining static code attributes to learn defect predictors'. IEEE Transactions on Software Engineering, 33(9), 637–640. DOI: 10.1109/tse.2007.70721 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Software Defect Prediction and Risk Classification. ScholarGate. https://scholargate.app/sw/software-engineering/defect-prediction-model
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Ufuatiliaji wa Kasi ya AgileUhandisi wa Programu↔ compare
- Uchambuzi wa Kufunika kwa MsimboUhandisi wa Programu↔ compare
- Vipimo vya Utata wa ProgramuUhandisi wa Programu↔ compare
- Static Code AnalysisUhandisi wa Programu↔ compare
Imerejelewa na
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