Results 1 to 10 of about 157 (126)
Adaptive queue management in healthcare using supervised Q-learning with time-varying reward and cost structures [PDF]
Scientific ReportsEfficient patient management in hospitals requires adaptive decision-making under time-varying demand and dynamic service environments. This study proposes a heterogeneous medical patient queueing model that integrates reinforcement learning with ...
Kartick Bag +4 more
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Predict new cases of the coronavirus 19; in Michigan, U.S.A. or other countries using Crow-AMSAA method [PDF]
Infectious Disease Modelling, 2020 Statistical predictions are useful to predict events based on statistical models. The data is useful to determine outcomes based on inputs and calculations. The Crow-AMSAA method will be explored to predict new cases of Coronavirus 19 (COVID19).
Yanshuo Wang
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A novel approach of NPSO on dynamic weighted NHPP model for software reliability analysis with additional fault introduction parameter [PDF]
Heliyon, 2019 This paper presents software fault detection, which is dependent upon the effectiveness of the testing and debugging team. A more skilled testing team can achieve higher rates of debugging success, and thereby removing a larger fraction of faults ...
Pooja Rani, G.S. Mahapatra
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Applied SciencesThe importance of software has increased significantly over time, and software failures have become a critical concern. As software systems have diversified in functionality, their structure has become more complex, and the types of failures that can ...
Youn Su Kim +3 more
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Mathematics, 2021 Software reliability models (SRMs) are widely used for quantitative evaluation of software reliability by estimating model parameters from failure data observed in the testing phase.
Hiroyuki Okamura, Tadashi Dohi
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Performance Evaluation of a Cloud Datacenter Using CPU Utilization Data
Mathematics, 2023 Cloud computing and its associated virtualization have already been the most vital architectures in the current computer system design. Due to the popularity and progress of cloud computing in different organizations, performance evaluation of cloud ...
Chen Li +3 more
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IEEE Access, 2022 In the past, several software reliability growth models (SRGMs) have been proposed to predict various aspects of software reliability, and non-homogeneous Poisson process (NHPP)-based SRGMs have drawn much attention.
Yi-Fan Hou +2 more
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Are Infinite-Failure NHPP-Based Software Reliability Models Useful?
Software, 2022 In the literature, infinite-failure software reliability models (SRMs), such as Musa-Okumoto SRM (1984), have been demonstrated to be effective in quantitatively characterizing software testing processes and assessing software reliability.
Siqiao Li +2 more
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An Imperfect Debugging Littlewood Non-homogeneous Poisson Process Model [PDF]
The Egyptian Statistical Journal, 2006 The large literature on software reliability assessment and prediction essentially assumes that once a failure occurs the fault causing the failure is immediately removed with certainty. i.e., perfect debugging. This assumption may not be realistic.
Abdalla Abdel-Ghaly, May Barghout
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A Novel Software Reliability Growth Model Based on Generalized Imperfect Debugging NHPP Framework
IEEE Access, 2023 Non-Homogeneous Poisson Process (NHPP) is a standard framework in the field of software reliability analysis. The core of NHPP consists in determining the Mean Value Function (MVF) of cumulative error number at a specific time slot.
Hang Luo +4 more
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