A SRGM using Time Dependent Delay Effect in Fault Detection and Removal Phenomenon
P. Agarwal1, S. Rani2, S. Bansal3
1P. Agarwal, SRM Institute of Science and Technology, NCR Campus, Ghaziabad, Uttar Pradesh, India.
2S. Rani, SRM Institute of Science and Technology, NCR Campus, Ghaziabad, Uttar Pradesh, India.
3S. Bansal, SRM Institute of Science and Technology, NCR Campus, Ghaziabad, Uttar Pradesh, India.
Manuscript received on 15 May 2019 | Revised Manuscript received on 22 May 2019 | Manuscript Published on 10 July 2019 | PP: 192-196 | Volume-8 Issue-7C2 May 2019 | Retrieval Number: G10450587C219/19©BEIESP
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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: Many software reliability growth models are based on this approach that software faults are independent and removed immediately as they detected. But in realistic situation, some factors affect the debugging process during testing such that complicity of faults, Imperfect debugging, debugger’s efficiency etc. In this paper, to fill the all these gaps a delay function is used to improve the efficiency of SRGM. A comprehensive analysis of optimal release policies based on cost and reliability is additionally provided, which could facilitate software engineers to see the most effective best optimal time to release the software package into marketplace for operational use. In the last, experimental results show the better performance of the proposed model than the other existing model.
Keywords: Non-Homogeneous Poisson Process (NHPP), Software Reliability Growth Model (SRGM), Fault Detection and Removal Delay, Fault Detection and Removal Efficiency.
Scope of the Article: Measurement & Performance Analysis