Oct 26, 2023 · Our experimental results indicate that NI factors can indeed cause considerable variance in the fault prediction models' accuracy.
Our experimental results indicate that NI factors can indeed cause considerable variance in the fault prediction models' accuracy.
One of them is fault prediction as a quality assurance task. Fault prediction (FP) techniques leverage historical data to train ML models to predict fault-prone ...
Request PDF | On Sep 6, 2023, Xhulja Shahini and others published Variance of ML-based software fault predictors: are we really improving fault prediction?
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Oct 26, 2023 · Variance of ML-based software fault predictors: are we really improving fault prediction? no code implementations • 26 Oct 2023 • Xhulja ...
The performance of machine learning-based SFP methods over fault susceptibility is better than conventional statistical purposes. The empirical evidence of our ...
Variance of ML-based software fault predictors: are we really improving fault prediction? · An AI Chatbot for Explaining Deep Reinforcement Learning Decisions of ...
Jun 15, 2021 · The performance of machine learning-based SFP methods over fault susceptibility is better than conventional statistical purposes. The empirical ...
This paper investigated the application of machine learning to the estimation of software fault-proneness. Two main goals were fulfilled.
Apr 13, 2023 · The Modified Sequential Minimal Optimization (MSMO) Algorithm method has been proposed to get the highest accuracy & less fault prediction errors.