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Process / pipelineQuality prediction

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.

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Vyanzo

  1. 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
  2. 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
  3. 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

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Imerejelewa na

ScholarGateDefect Prediction Model (Software Defect Prediction and Risk Classification). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/software-engineering/defect-prediction-model · Seti ya data: https://doi.org/10.5281/zenodo.20539026