Software Reliability Prediction using Neural Networks
作者： V. Ramakrishna , M R Narasinga Rao , T M Padmaja
DOI: 10.5120/9707-4167
关键词:
摘要: Predicting the Software reliability is a pertinent issue and it major concern of software developers engineers in changing environment considerations. models are developed to estimate probability failure free operation for long time. Many Reliability Growth Models (SRGM) were give latent number faults product. However none these performing expectations software. In this paper, A research made using artificial neural network monitor performance that leads predict reliability. The MLP model outperforms SVR model, based on results, can be considered reasonable alternative quality prediction.
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