Sentence examples for fault predictions from inspiring English sources

According to [8], software fault predictions are categorized based on several criteria such as metrics, datasets and methods.

Presently, time-based airline maintenance scheduling does not take fault predictions into account, but happens at fixed time-intervals.

Importantly, these AI technologies are integrated in LDP in a synergistic manner: the diagnosis algorithm is modified to consider the learned fault predictions and the planner is modified to consider the possible diagnoses outputted by the diagnosis algorithm.

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

To predict faults more accurately, an improved CBR-based fault prediction method (ICBRP) is proposed in this paper.

We developed an Eclipse-based software fault prediction tool for Java programs to simplify the fault prediction process.

Almost all software fault prediction studies use metrics and faulty data of previous software release to build fault prediction models, which is called supervised learning approaches.

Despite the amount of effort software engineers have been putting into developing fault prediction models, software fault prediction still poses great challenges.

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.

Fault prediction partially focuses on understanding the behavior of programmers and its effects on software reliability.

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