Results 51 to 60 of about 1,369 (150)

Hybrid Firefly–Bayesian Neural Network Estimation for Reliable Modeling of the Inverse Gompertz–Gumbel Family and NHPP Systems: Properties and Comparative Evaluation

Journal of Statistical Theory and Applications (JSTA)
The idea commonly accepted is that probability distributions play a major role in reliability modeling, whereas classical models are often not flexible enough to accommodate the complex behavior of life data.
Saad Abbas Abed, Ali Akgül, Murad Khan Hassani, Zaid Amer Mohammed, Adel S. Hussain, Mohammad A. Tashtoush   +5 more
doaj   +1 more source

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
doaj   +1 more source

Flexible movement kernel estimation in habitat selection analyses with generalized additive models

Methods in Ecology and Evolution, Volume 16, Issue 8, Page 1796-1807, August 2025.
Abstract Habitat selection analysis includes resource selection analysis (RSA) and step selection analysis (SSA). These frameworks are used in order to understand space use of animals. Particularly, the SSA approach specifies the area available to the animal through a movement kernel.
Rafael Arce Guillen, Jennifer Pohle, Florian Jeltsch, Manuel Roeleke, Björn Reineking, Natasha Klappstein, Ulrike Schlägel   +6 more
wiley   +1 more source

Next Generation Models for Subsequent Sports Injuries

Applied Stochastic Models in Business and Industry, Volume 41, Issue 4, July/August 2025.
ABSTRACT This paper contributes a modelling approach for prediction of subsequent injury risk using longitudinal wearable data in the sports industry. Understanding subsequent injury events in sport, namely injuries that follow an initial injury, will assist athletes, support staff, and coaches to quantify the risk of future injury and better inform ...
Paul Pao‐Yen Wu, Yu Yi Yu, Liam A. Toohey, Michael Drew, Scott A. Sisson, Clara Grazian, Kerrie Mengersen   +6 more
wiley   +1 more source

ON THE ROLE OF UNBIASED INVERSE VARIANCE-STABILIZING TRANSFORMATION IN WAVELET SHRINKAGE ESTIMATION FOR NHPP-BASED SOFTWARE RELIABILITY ASSESSMENT

, 2019
In non-homogeneous Poisson process (NHPP) based software reliability models (SRM), specifying the software intensity function or the mean value function accurately is important. A wavelet shrinkage estimation (WSE) method has been proposed for estimating
Yamamoto, Hisashi, Xiao, Xiao, Tada, Daichi   +2 more
core   +1 more source

Is There a Future for Stochastic Modeling in Business and Industry in the Era of Machine Learning and Artificial Intelligence?

Applied Stochastic Models in Business and Industry, Volume 41, Issue 2, March/April 2025.
ABSTRACT The paper arises from the experience of Applied Stochastic Models in Business and Industry which has seen, over the years, more and more contributions related to Machine Learning rather than to what was intended as a stochastic model. The very notion of a stochastic model (e.g., a Gaussian process or a Dynamic Linear Model) can be subject to ...
Fabrizio Ruggeri, David Banks, William S. Cleveland, Nicholas I. Fisher, Marcos Escobar‐Anel, Paolo Giudici, Emanuela Raffinetti, Roger W. Hoerl, Dennis K. J. Lin, Ron S. Kenett, Wai Keung Li, Philip L. H. Yu, Jean‐Michel Poggi, Marco S. Reis, Gilbert Saporta, Piercesare Secchi, Rituparna Sen, Ansgar Steland, Zhanpan Zhang   +18 more
wiley   +1 more source

Software reliability growth modeling for agile software development

International Journal of Applied Mathematics and Computer Science, 2017
The frequent incremental release of software in agile development impacts the overall reliability of the product. In this paper, we propose a generic software reliability model for the agile process, taking permanent and transient faults into ...
Rawat Shubham, Goyal Nupur, Ram Mangey
doaj   +1 more source

A Generalized Software Reliability Growth Model With Consideration of the Uncertainty of Operating Environments

IEEE Access, 2019
This paper proposes a generalized model to cover imperfect debugging and the uncertainty of the operating environment and its effect on fault detection rate into software reliability evaluation based on a non-homogeneous Poisson process (NHPP). Many NHPP
Qiuying Li, Hoang Pham
doaj   +1 more source

Numerical Solution Method for Software Reliability Growth Model Within Framework of Generalized Polynomial Chaos [PDF]

Jisuanji kexue yu tansuo
As the quality of software systems improves, the demand for the reliability of software systems increases. Due to the complexity of software systems and the uncertainty inherent in their operating environments, it is challenging for researchers to obtain
YANG Xiaoyi, LAN Yuqing, ZHANG Yue
doaj   +1 more source

Optimal Release Time Estimation of Software System using Box-Cox Transformation and Neural Network [PDF]

International Journal of Mathematical, Engineering and Management Sciences, 2018
The determination of the software release time for a new software product is the most critical issue for designing and controlling software development processes.
Momotaz Begum, Tadashi Dohi
doaj   +1 more source