An Empirical Analysis of Software Reliability using Reliability Analysis Algorithm
Gayathry G1, Thirumalaiselvi R2

1Gayathry G, Computer Science, Bharathiar University, Coimbatore, India.
2Thirumalaiselvi R, Computer Science, Govt. Arts College (Men), Nandanam, Chennai, India.

Manuscript received on 02 August 2019. | Revised Manuscript received on 08 August 2019. | Manuscript published on 30 September 2019. | PP: 6688-6690 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5712098319/2019©BEIESP | DOI: 10.35940/ijrte.C5712.098319
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Abstract: Reliability is the fundamental aspect of a software system that cannot be ignored and hard to measure. Two major elements namely hardware and software need to be measured to evaluate the reliability of software system. The work that is already existing give focus on measuring the reliability of software alone. With little consideration in measuring the reliability of hardware. The present work focuses on computation of hardware reliability and software reliability together. The aim is to propose an algorithm to develop a model for estimation of reliability. The algorithm is named as reliability analysis algorithm. Using comparison criteria developed model is compared with other two traditional models. The result of this study shows that the developed model can be used to measure and predict the reliability with high degree of accuracy.
Keywords: Mean Value Function, Failure Intensity, Parameter Estimation, Model Criteria, Software Reliability Growth Models.

Scope of the Article:
Empirical Software Engineering