Abstract
In recent years, Open Source Software have gain popularity in the field of the Information technology. Some of its key features like source code availability, cost benefits, external support, more reliability and maturity have increased its use in all the areas. It has been observed that that people interests are shifting from closed source software to open source software due to size and complexity of real life application. It has become impractical to develop a reliable and completely satisfied Open source software product in a single development life cycle, therefore, the successive improved version or releases are developed. These successive versions are designed to meet technological arrangements, dynamic customer needs and to penetrate further in the market. But it also give rise to new challenges in the terms if deterioration in the code quality due to modification/addition in the source code. Sometimes new faults generated due to add-ons and also the undetected faults from the previous release become the cause of difficulty in updating the software. In this paper, an NHPP based software reliability growth model is proposed for multi-release open source software under the effect of imperfect debugging. In the model, it has been assumed that the total number of faults depends on the number of faults generated due to add-ons in the existing release and due to the number of faults left undetected during the testing of the previous release. Data of the three releases of Apache, an OSS system have been taken for the estimation of the parameters of the proposed model. The estimation result for proposed model has been compared with the recently reported multi release software reliability model and the goodness of fit results shows that the proposed model fits the data more accurately and hence proposed model is more suitable reliability model for OSS reliability growth modeling.
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Abbreviations
- \(m\left( t \right)\) :
-
Expected number of faults removed in the time interval (0, t]
- \(a_{i}\) :
-
Fault content at starting of ith release
- \(\alpha_{i}\) :
-
Constant rate at which new faults are introduced in ith release
- \(b_{i}\) :
-
A constant in the fault detection rate for ith release
- \(F_{i} \left( t \right)\) :
-
Cumulative distribution function for testing phase of ith release
- \(k_{i}\) :
-
Shape parameter for Weibull cdf for \(i\)th release
- \(\tau_{i}\) :
-
Time for the \(i\)th release
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Diwakar, Aggarwal, A.G. (2019). Multi Release Reliability Growth Modeling for Open Source Software Under Imperfect Debugging. In: Kapur, P., Klochkov, Y., Verma, A., Singh, G. (eds) System Performance and Management Analytics. Asset Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-10-7323-6_7
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