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Discrete software reliability growth models
Applied Stochastic Models and Data Analysis, 1985AbstractA general description of a discrete software reliability growth model, which adopts the number of test runs or the number of executed test cases as the unit of error detection period, is presented. Two classes of discrete software reliability growth models are proposed and discussed.
Shioeru Yamada, Shunji Osaki
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A reliability growth model for modular software
Electronics and Communications in Japan (Part II: Electronics), 2004AbstractThis paper presents a probabilistic model for evaluating the reliability of software having modular structure. In particular, it proposes a new reliability‐evaluating model based on the structure of software by integrating the Jelinski–Moranda model, which is the most basic black box model, and the Littlewood model, which is a representative ...
Hiroyuki Okamura +3 more
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Truncated software reliability growth model
Journal of Applied Mathematics and Computing, 2002Summary: Due to the large scale application of software systems, software reliability plays an important role in software developments. In this paper, a software reliability growth model is proposed. The testing time on the right is truncated in this model.
Prince Williams, D. R., Vivekanandan, P.
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Benchmarking Software Reliability Growth Models
2004A number of classical software reliability growth models were benchmarked in this paper. Ten popular models were selected. A set of performance characteristics/factors which were believed to be related to the model’s benchmark was identified. A benchmark quantification scheme with respect to the set of performance factors was proposed. The procedure to
Yunwei Hu, Wei Zhang, Bin Li
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A software reliability growth model for an error-removal phenomenon
Software Engineering Journal, 1992The authors develop a software reliability growth model based on the non-homogeneous Poisson process, under the assumption that the detection of these errors can also cause the detection of some of the remaining errors without these errors causing any failure. Using the expected number of errors thus detected, the authors obtain the mean value function
P. K. Kapur 0001, R. B. Garg
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Software Reliability Growth Model Based on Truncated Distributions
Calcutta Statistical Association Bulletin, 2011Generally a software reliability growth model (SRGM) through a non-homogenous Poisson process (NHPP) is represented by its mean value function originated from the cumulative distribution function of a positive-valued continuous random variable. We consider some truncated distributions of positive-valued random variables and use them in the mean value ...
Kantam, R. R. L., Priya, M. Ch.
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A MANIFOLD GROWTH MODEL THAT UNIFIES SOFTWARE RELIABILITY GROWTH MODELS
International Journal of Reliability, Quality and Safety Engineering, 1994Ensuring software reliability is one of the most important issues in software development. High-precision fault rate prediction is a powerful method for ensuring reliability. A variety of highly accurate methods have been proposed to date, the most widely used being software reliability growth models (SRGMs) based on how the cumulative number of ...
TSUNEO FURUYAMA, YUTAKA NAKAGAWA
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A software reliability growth model for imperfect debugging
Journal of Systems and Software, 2022Yeu-Shiang Huang +2 more
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Software Reliability Growth Models
2021David D. Hanagal, Nileema N. Bhalerao
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Elementary software reliability growth modeling
2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2017Software reliability is one of the most important characteristics of software quality. Its measurement and management technologies during the software life-cycle are essential to produce and maintain quality/reliable software systems. In this paper, we discuss software reliability modeling and its applications.
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