Software Reliability-Combination of Models
R.Sindhura1, R. Mahesh2
1R.Sindhura, Innova Solutions PVT Ltd, Chennai, Tamil Nadu.
2R. Mahesh, Software Engineer, USA.
Manuscript received on November 11, 2019. | Revised Manuscript received on 22 November, 2019. | Manuscript published on December 10, 2019. | PP: 2121-2128 | Volume-9 Issue-2, December 2019. | Retrieval Number: G6126058719/2019©BEIESP | DOI: 10.35940/ijitee.G6126.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Three software reliability growth models (SRGMs) – one proposed by the authors and two existing in literature based on non homogeneous Poisson Process (NHPP) are considered. Combinations of the three models are suggested as super models to measure software reliability. A comparative study of the suggested models is made with reference to three criteria as applied to eight different data sets and is noticed that the suggested model has a good contribution in the combination to come out as a better SRGM model.
Keywords: Mean Value Function, Inter Failure Times, Prequential Likelihood, Kolmogrov’s Distance, Estimates of Parameters.
Scope of the Article: Software Engineering & Its Applications