Results 211 to 220 of about 163,982 (264)

Beyond pay and balance: organizational support as a driver of professional development across generations in the Chilean mining industry. [PDF]

Front Psychol
Serrano-Malebrán J, Molina C, von-Bischoffshausen P.   +2 more
europepmc   +1 more source

The development and validation of the AI-supported self-regulated science and mathematics learning scale (AI-SSRSML) among secondary school students in Saudi Arabia. [PDF]

BMC Psychol
Alatoai AA, Alshahri AS.
europepmc   +1 more source

The influence of different digital registration methods on measurement accuracy of clear aligner treatment outcomes. [PDF]

BMC Oral Health
Adel SM, El-Harouni N, Kassem HE, Zaher AR, Vaiid N.   +4 more
europepmc   +1 more source

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Software Reliability Growth Modeling: Models and Applications

IEEE Transactions on Software Engineering, 1985
This paper summarizes existing software reliability growth models (SRGM's) described by nonhomogeneous Poisson processes. The SRGM's are classified in terms of the software reliability growth index of the error detection rate per error. The maximum-likelihood estimations based on the SRGM's are discussed for software reliability data analysis and ...
Shigeru Yamada, Shunji Osaki
openaire   +1 more source

On Modelling Reliability Growth for Software

IFAC Proceedings Volumes, 1988
Abstract An essential parameter of many important systems in engineering sciences is the reliability of software. In social sciences there is also an increased use of software and the unavailability of it usually causes many practical problems. There are several models suggested in studying software reliability.
M. Xie, B. Bergman
openaire   +1 more source

A software reliability growth model

International Journal of Quality & Reliability Management, 1996
Most of the existing software reliability models assume time between failures to follow an exponential distribution. Develops a reliability growth model based on non‐homogeneous Poisson process with intensity function given by the power law, to predict the reliability of a software.
Nalina Suresh, A.N.V. Rao, A.J.G. Babu
openaire   +1 more source