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Testing Effort Based Software Reliability Assessment Incorporating FRF and Change Point
Yugoslav journal of operations research, Tome 30 (2020) no. 3, p. 271 Cet article a éte moissonné depuis la source eLibrary of Mathematical Institute of the Serbian Academy of Sciences and Arts

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In today’s World, to meet the demand of high quality and reliable software systems, it is imperative to perform comprehensive testing and debugging of the software code. The fault detection and removal rate may change over time. The time point after which the rates are changed is termed as the change point. Practically, the failure count may not coincide with the total fault count removed from the system. Their ratio is measured by Fault Reduction Factor (FRF). Here, we propose a Weibull testing effort dependent Software Reliability Growth Model with logistic FRF and change point for assessing the failure phenomenon of a software system. The models have been validated on two real software fault datasets. The parameters are estimated using Least squares and various criteria are employed to check the goodness of fit. The comparison is also facilitated with the existing models in literature to demonstrate that proposed model has better performance.
Classification : 90B05, 90B06, 90C11
Keywords: SRGM, NHPP, FRF, Testing Effort, Change Point, Weibull Testing Effort Function 
@article{YJOR_2020_30_3_a1,
     author = {Rajat Arora and Anu G. Aggarwal},
     title = {Testing {Effort} {Based} {Software} {Reliability} {Assessment} {Incorporating} {FRF} and {Change} {Point}},
     journal = {Yugoslav journal of operations research},
     pages = {271 },
     year = {2020},
     volume = {30},
     number = {3},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/YJOR_2020_30_3_a1/}
}
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Rajat Arora; Anu G. Aggarwal. Testing Effort Based Software Reliability Assessment Incorporating FRF and Change Point. Yugoslav journal of operations research, Tome 30 (2020) no. 3, p. 271 . http://geodesic.mathdoc.fr/item/YJOR_2020_30_3_a1/