The widespread integration of software into all parts of our lives has led to the need for
software of higher reliability. Ensuring reliable software usually necessitates some form of …

Assessment of software reliability is inevitable in modern software production process. Many
works aimed at better models for measurement and prediction of reliability of software …

In this age of technology, building quality software is essential to competing in the business
market. One of the major principles required for any quality and business software product …

Fuzzy Logic (FL) together with Recurrent Neural Network (RNN) is used to predict the
software reliability. Fuzzy Min-Max algorithm is used to optimize the number of the …

Software failure prediction is a crucial task in software quality assurance. Although time
series forecasting techniques and conventional software reliability models are used for the …

The computational intelligence approach using Neural Network (NN) has been known to be
very useful in predicting software reliability. Software reliability plays a key role in software …

The increasing of software's quality is a significant issue that attracts the attention of many
researchers in this field. They are looking for a modeling that meets the users trust and …

In the software testing phase, software reliability growth models (SRGMs) are commonly
used to evaluate the reliability of software systems. Traditional SRGMs are restricted by their …

The growing need for complex applications in diversified fields imposes a significant
challenge on the development of software systems. There has been a recent increase in …

Reliability is a qualitative feature of software that has been the focus of numerous
researchers. There are several measures for quantitative evaluation of reliability, such as …