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Mudeli nimetus: Defektide ennustusmudel

Defektide ennustusmudelid prognoosivad tarkvaravigade tõenäosust koodimoodulites, kasutades statistilisi või masinõppe lähenemisviise. Ostrand, Weyuker ja Bell (2005) poolt algatatud mudelid seostavad koodimõõdikuid (keerukus, muutuste sagedus, sidusus) ajalooliste defektandmetega, et tuvastada kõrge riskiga komponente. Organisatsioonid kasutavad ennustusi testimisressursside eraldamiseks, koodi ülevaatuse suunamiseks ja refaktoriseerimise prioriseerimiseks.

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Allikad

  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

Kuidas sellele lehele viidata

ScholarGate. (2026, June 3). Software Defect Prediction and Risk Classification. ScholarGate. https://scholargate.app/et/software-engineering/defect-prediction-model

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Sellele viitavad

ScholarGateDefect Prediction Model (Software Defect Prediction and Risk Classification). Loetud 2026-06-15 aadressilt https://scholargate.app/et/software-engineering/defect-prediction-model · Andmestik: https://doi.org/10.5281/zenodo.20539026