Developing a hybrid software reliability growth model

Shrivastava, Avinash K.; Sharma, Ruchi

doi:10.1108/ijqrm-02-2021-0039

Cited by 8 publications

(3 citation statements)

References 58 publications

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“…OSS reliability tools have been compared and reviewed and the characteristics and applications have been summarized 52 . More work in multi‐release modelling of OSS has been put forth by the number of researchers 13‐21,23‐29,34,38,40,42,48 …”

Section: Literature Reviewmentioning

confidence: 99%

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Modelling reliability growth for multi‐version open source software considering varied testing and debugging factors

Saraf

Iqbal

Shrivastava

et al. 2021

Quality & Reliability Eng

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Due to the continuous dependence of society on technology and the fast growth of Open Source Software (OSS), there is a need for the software industry to shift to multi‐release software development. To include the revisions in user demands and testing environment, factors that affect OSS reliability have to be considered. Here, we propose a quantitative method for assessing the reliability of multi‐release OSS by using Software Reliability Growth Models based on the Non‐Homogenous Poisson Process. Various factors like imperfect debugging, error generation, change‐point have been considered. The model has been estimated on Statistical Package for Social Sciences using three releases of the Apache dataset. It is concluded that the results obtained are improved than the existing ones.

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Section: Literature Reviewmentioning

confidence: 99%

“…52 More work in multi-release modelling of OSS has been put forth by the number of researchers. [13][14][15][16][17][18][19][20][21][23][24][25][26][27][28][29]34,38,40,42,48 Following research gaps have been observed in the literature:…”

Section: Literature Reviewmentioning

confidence: 99%

Modelling reliability growth for multi‐version open source software considering varied testing and debugging factors

Saraf

Iqbal

Shrivastava

et al. 2021

Quality & Reliability Eng

Self Cite

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“…The parameters of the model are determined based on real data, and the parameters are substituted into a reliability formula. Many models of reliability have been introduced in the past few decades [1][2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

New non‐homogeneous Poisson process software reliability model based on a 3‐parameter S‐shaped function

Nguyen¹,

Huynh

2022

IET Software

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Software reliability modelling is the mathematical technique used to evaluate the reliability of a software system. The non-homogeneous Poisson process is a prominent approach in this field. More than half of the models in this group are based on S-shaped functions, primarily the 2-parameter S-shaped function. This paper proposes a new model based on the 3-parameter S-shaped function, which is an expanded form of the 2-parameter S-shaped function obtained by adding a growth rate controller. Real data from industrial software development projects are used to verify the usability of the proposed model. The proposed model is shown to perform better than the existing models, especially with respect to the predictive performance. Furthermore, the rate of convergence of the proposed model is acceptable, with a rate of 76.47%.

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