In software maintenance, changing modules which affect many other modules are intractable. We defined a new metric, ImpactScale, which quantifies the scale of the change impact of a module to improve the accuracy of fault prediction. Both product metrics and process metrics are required to predict faults effectively in maintenance. However, process metrics cannot be always collected in practica...

The fault prediction model grants assistance during the software development by providing recourse to the present faults with the Bayesian Interference. All faults prediction techniques get a help in this study with the designing of Logistic regression model and Bayesian inference altogether. It is also told as fact that Bayesian inference graph can be represented for probabilistic approach for...

This paper proposes an integrated framework for fault prediction in the robot dead reckoning system. The integrated framework is built by particle filter and support vector machine (SVM). On the basis, the weighted fault probability parameters can be extracted to train the prediction model. Different from the traditional particle filter fault prediction model, the proposed framework can overcom...

Software reliability is the probability that the given software functions correctly under a given environment, during the specified period of time. During the software-testing phase, software reliability is highly related to the amount of development resources spent on detecting and correcting latent software errors, i.e. the amount of testing effort expenditures. This paper develops software r...

Effective prediction of software modules, those that are prone to defects, will enable software developers to achieve efficient allocation of resources and to concentrate on quality assurance activities. The process of software development life cycle basically includes design, analysis, implementation, testing, and release phases. Generally, software testing is a critical task in the software d...

Fault prediction is the precondition of Condition Based Maintenance (CBM), accurate prediction for equipment can not only make warning before failure occurs, but also reduce the cost of maintenance of complicated equipment and system. Therefore, it is of profound importance to make research on fault prediction of electronic equipment. This paper analyses some typical fault prediction method of ...

Software reliability estimation using machine learning play a major role on the different software quality databases. Most of conventional model fails to predict test samples due high true positive rate traditional support vector regression models. based fault prediction models are integrated with standard growth measures for severity classification. However, these used level binary class less ...

There are available metrics for predicting fault prone classes, which may help software organizations for planning and performing testing activities. This may be possible due to proper allocation of resources on fault prone parts of the design and code of the software. Hence, importance and usefulness of such metrics is understandable, but empirical validation of these metrics is always a great...