In general, software reliability growth models (SRGMs) are often developed based on the
assumptions of perfect debugging, single error type, and consistent testing environment …

Monitoring is the key to guarantee the reliability of cloud computing systems. By analyzing
monitoring data, administrators can understand systems' statuses to detect, diagnose and …

In this paper, we propose a software reliability model that considers not only error
generation but also fault removal efficiency combined with testing coverage information …

(SRGMs) have been analyzed for measuring the growth of software reliability. Selection of
optimal SRGMs for use in a particular case has been an area of interest for researchers in …

This paper presents a software reliability assessment tool which is built as a Microsoft Excel
AddIn. The tool handles 11 types of software reliability growth models (SRGMs) and easily …

Advances in machine learning (ML) have led to applications in safety‐critical domains,
including security, defense, and healthcare. These ML models are confronted with …

We have been attempting to evaluate software quality and improve its reliability. Therefore,
research on a software reliability model was part of the effort. Currently, software is used in …

Testing-effort (TE) and imperfect debugging (ID) in the reliability modeling process may
further improve the fitting and prediction results of software reliability growth models …

Traditional software reliability growth models enable quantitative assessment of the software
testing process by characterizing the fault detection in terms of testing time or effort …

This paper proposes a multi-factor software reliability model based on logistic regression
and its effective statistical parameter estimation method. The proposed parameter estimation …