Abstract
Nowadays, software companies have to continuously do up-gradation or add-ons in their software to survive in the market. This paper presents an effective reliability model for multi release open source software (OSS), which derived based on software lifecycle development process (SDLC) proposed by Jørgensen [1]. Most of OSS reliability models proposed in the literature are based on closed-form methodology and do not consider the properties of OSS in the model structure. The proposed model, incorporate bugs removed from two different phases, namely a pre-commit test and parallel debugging test. Furthermore, the proposed model is based on the assumptions that the overall fault removal of the new release depends on the reported faults from the previous release of the software and on the faults generated due to adding some new functionalities to the existing software system. The parameters of model have been estimated on real software failure dataset with three releases and goodness of fit of values have been calculated. Results show that the proposed model fits the data reasonably well and present better accuracy in comparison with other methods.
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Abbreviations
- m(t):
-
The expected number of faults removed by time t.
- λ(t):
-
Failure intensity.
- F(t),:
-
Probability distribution functions for FRP.
- \(F_{i}^{PCT} (t),\,F_{i}^{PDT} (t)\) :
-
Probability distribution functions for pre-commit test (PCT) and parallel debugging test (PDT), respectively.
- \(F_{i}^{PR} (t)\) :
-
Probability distribution functions for bugs reported from Production Release (PR) previous version.
- τ i :
-
Time for ith release, i = 1..n.
- a i :
-
Initial fault content for ith release, i = 1..n.
- a :
-
Total fault content in the software.
- β 1, β 2, β 3 :
-
The shape parameter of the Weibull model for ith release during PCT, PDT and PR; i = 1..n.
- θ 1, θ 2, θ 3 :
-
The scale parameter of the Weibull model for ith release during PCT, PDT and PR; i = 1..n.
- λ :
-
Proportion of fault removed by testing team during PCT.
- 1−λ :
-
Proportion of fault removed based during PDT.
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Ahmadi, M., Mahdavi, I., Garmabaki, A.H.S. (2016). Multi Up-Gradation Reliability Model for Open Source Software. In: Kumar, U., Ahmadi, A., Verma, A., Varde, P. (eds) Current Trends in Reliability, Availability, Maintainability and Safety. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-23597-4_51
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