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Agreement and Reliability of Running Stride-Time Variability Analyses from Wearable Devices. [PDF]
Jones BDM +4 more
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Evaluating chat generative pre-trained transformer responses to common patient questions on temporomandibular disorders. [PDF]
Unuvar BS, Unuvar EEO.
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Performance comparison of large language models for medication counseling in people living with HIV. [PDF]
Huang C, Sun Y, Chen M, Zhang L, Liu W.
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An explainable AI framework for enhanced software defect prediction using transformer-assisted boosting. [PDF]
Kun Q +5 more
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Software reliability prediction using a deep learning model based on the RNN encoder–decoder
Reliability Engineering and System Safety, 2018Jinyong Wang
exaly +2 more sources
A novel CRITIC‐TOPSIS approach for optimal selection of software reliability growth model (SRGM)
Quality and Reliability Engineering International, 2022Various Software Reliability Growth Models (SRGMs) have been developed over last five decades to estimate the failure rate, software reliability and remaining number of faults in the software during testing phase of software development life cycle. There
Palak Saxena, Vijay Kumar, M. Ram
semanticscholar +1 more source
Software reliability prediction: A survey
Quality and Reliability Engineering International, 2022Softwares play an important role in controlling complex systems. Monitoring the proper functioning of the components of such systems is the principal role of softwares.
S. Oveisi +3 more
semanticscholar +1 more source
An effective software reliability growth model
The journal of the Safety and Reliability Society, 2021Reliability is an end-user quality feature related to system usage. Software reliability modelling has gained a lot of importance due to the growing need for high-quality software.
Md. Asraful Haque, N. Ahmad
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