Relevant bibliographies by topics / JELINSKI-MORANDA MODEL

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'JELINSKI-MORANDA MODEL'

Author: Grafiati
Published: 11 September 2023
Last updated: 31 July 2025

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Journal articles on the topic "JELINSKI-MORANDA MODEL"

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S.Mahapatra, G., and P. Roy. "Modified Jelinski-Moranda Software Reliability Model with Imperfect Debugging Phenomenon." International Journal of Computer Applications 48, no. 18 (2012): 38–46. http://dx.doi.org/10.5120/7451-0534.

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Al Turk, Lutfiah Ismail, and Eftekhar Gabel Alsolami. "Jelinski-Moranda Software Reliablity Growth Model : A Brief Literature and Modification." International Journal of Software Engineering & Applications 7, no. 2 (2016): 33–44. http://dx.doi.org/10.5121/ijsea.2016.7204.

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Littlewood, Bev, and Ariela Sofer. "A Bayesian modification to the Jelinski-Moranda software reliability growth model." Software Engineering Journal 2, no. 2 (1987): 30. http://dx.doi.org/10.1049/sej.1987.0005.

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Washburn, Alan. "A sequential Bayesian generalization of the Jelinski–Moranda software reliability model." Naval Research Logistics 53, no. 4 (2006): 354–62. http://dx.doi.org/10.1002/nav.20148.

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INOUE, SHINJI, SHIHO HAYASHIDA, and SHIGERU YAMADA. "EXTENDED HAZARD RATE MODELS FOR SOFTWARE RELIABILITY ASSESSMENT WITH EFFECT AT CHANGE-POINT." International Journal of Reliability, Quality and Safety Engineering 20, no. 02 (2013): 1350009. http://dx.doi.org/10.1142/s0218539313500095.

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A software hazard rate model is known as one of the important and useful mathematical models for describing the software failure occurrence phenomenon observed in a testing phase. It is difficult to say that the testing environment always constant during a testing phase due to changing the specification and fault target and so forth. Therefore, taking into consideration of the effect of the change in software reliability growth modeling is expected to conduct more accurate software reliability assessment. In this paper, we develop extended software hazard rate models based on well-known Jelins
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Barghout, May. "Predicting software reliability using an imperfect debugging Jelinski Moranda Non-homogeneous Poisson Process model." Model Assisted Statistics and Applications 5, no. 1 (2010): 31–41. http://dx.doi.org/10.3233/mas-2010-0127.

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Jukić, Dragan. "TheLp-norm estimation of the parameters for the Jelinski–Moranda model in software reliability." International Journal of Computer Mathematics 89, no. 4 (2012): 467–81. http://dx.doi.org/10.1080/00207160.2011.642299.

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boland, Philip J., Frank proschan, and Y. L. Tong. "Fault Diversity in Software Reliability." Probability in the Engineering and Informational Sciences 1, no. 2 (1987): 175–87. http://dx.doi.org/10.1017/s0269964800000383.

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Diversity of bugs or faults in a software system is a factor contributing to software unreliability which has not yet been appropriately emphasized. This paper is written with the intention of demonstrating the impact of fault diversity on the time to detection of software bugs. A new discrete software reliability model based on the multinomial distribution is introduced. It is shown that for models of this type, the more diverse the fault probabilities are, the longer (stochastically) it takes to detect or eliminate any n faults, while the smaller (stochastically) will be the number of faults
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9

Van Pul, Mark. "Simulations on the Jelinski-Moranda model of software reliability; application of some parametric bootstrap methods." Statistics and Computing 2, no. 3 (1992): 121–36. http://dx.doi.org/10.1007/bf01891204.

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Al turk, Lutfiah Ismail, and Eftekhar Gabel Alsolami. "A Comparison Study of Estimation Methods for Generalized Jelinski-Moranda Model Based on Various Simulated Patterns." International Journal of Software Engineering & Applications 7, no. 3 (2016): 27–48. http://dx.doi.org/10.5121/ijsea.2016.7303.

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Dissertations / Theses on the topic "JELINSKI-MORANDA MODEL"

1

Baratela, Daniele da Silva. "Inferência Bayesiana para o Modelo de Jelinski-Moranda via Parâmetros Ortogonais." Universidade de São Paulo, 1997. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-19032018-164929/.

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Apresentamos neste trabalho, um estudo do modelo de confiabilidade de software de Jelinski e Moranda (1972). Enfocamos, a importância da análise Bayesianapara a correção da instabilidade do estimador de máxima verossimilhança de N (número de erros do software), e a ortogonalização de Cox e Reid (1987) para a realização de inferência Bayesiana sobre a taxa de falhas A. Também, caractenzamos a existência da densidade a posteriori de { quando admitimos densidades a priori não-informativas e impróprias aos parâmetros do modelo. Destacamos o comportamento dos métodos de aproximação de Monte Carlo e
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SIKARWAR, INDRAJEET SINGH. "A NEW VARIANT OF JELINSKI-MORANDA MODEL FOR SOFTWARE RELIABILITY GROWTH MODELLING." Thesis, 2015. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15572.

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The software is becoming an integral part of the human life and the dependency over software is increasing exponentially with the advancement of technology. The usage of software is inevitable to many aerospace, medical, industrial, military, and even commercial systems. Hence, there is a need of reliable software system that will be operational without failure, for the specified period of time, in given environmental conditions. Reliability is one of the important aspects of the software quality. The fault exists in the software causes failure to the system and hence reduces the reliability.
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Conference papers on the topic "JELINSKI-MORANDA MODEL"

1

Luo, Ziqiang, Peng Cao, Guochun Tang, and Lihua Wu. "A Modification to the Jelinski-Moranda Software Reliability Growth Model Based on Cloud Model Theory." In 2011 Seventh International Conference on Computational Intelligence and Security (CIS). IEEE, 2011. http://dx.doi.org/10.1109/cis.2011.51.

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