Sentence examples for level of fault prediction from inspiring English sources

The system is used for key mechanical equipment groups, and aims at improving the working efficiency and the intelligent level of fault prediction.

Based on the investigation of current and developing research of fault prediction, an intelligent fault prediction system based on internet of things is proposed in this paper.

Three language-processing based measures are introduced and applied to the problem of fault prediction.

It should be mentioned that compared to the other metrics, the method-level metrics is still the most dominant metrics prediction, followed by class-level metrics in fault prediction research area and machine-learning algorithms.

Results demonstrate its usefulness to characterize the level of fault severity.

Two benefits of software fault prediction are improvement of the test process by focusing on fault-prone modules and by identification the refactoring candidates that are predicted as fault-prone [4].

We aim to improve the performance of software fault prediction task while keeping it as applicable.

This section focuses on the application of computational intelligence approaches for fault prediction.

Software fault prediction is a discipline that predicts the fault proneness of future modules by using essential prediction metrics and historical fault data.

In addition, method-level metrics are still the most dominant metrics in fault prediction research area and machine learning algorithms are still the most popular methods for fault prediction.

According to the literatures, software fault prediction models are built based on different set of metrics; method-level and class-level are two of the most important ones.