A BAYESIAN APPROACH USING NONHOMOGENEOUS POISSON PROCESSES FOR SOFTWARE RELIABILITY MODELS
Author:
Affiliation:
1. Department of Computer Sciences and Statistics, ICMSC, University of Sao Paulo, C.P. 668, 13560-970, Sao Carlos, S.P., Brazil
2. Department of Statistics, Box U-120, University of Connecticut, Storrs, CT 06269, USA
Publisher
WORLD SCIENTIFIC
Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Nonhomogeneous Markov Process Modeling for Software Reliability Assessment;IEEE Transactions on Reliability;2023-12
2. Another Look at Non-homogeneous Markovian Software Reliability Modeling;2023 10th International Conference on Dependable Systems and Their Applications (DSA);2023-08-10
3. Software Reliability Modeling Based on Zero-truncated and/or Zero-inflated Compound Distributions;2023 10th International Conference on Dependable Systems and Their Applications (DSA);2023-08-10
4. Burr-type NHPP-based software reliability models and their applications with two type of fault count data;Journal of Systems and Software;2022-09
5. Software Reliability Prediction through Encoder-Decoder Recurrent Neural Networks;International Journal of Mathematical, Engineering and Management Sciences;2022-05-08
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