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Measuring Extent of Reliability of Deadly Covid - 2019 Using Goel-Okumoto SRGM

Journal: International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ) (Vol.10, No. 3)

Publication Date:

Authors : ; ;

Page : 3233-3238

Keywords : COVID - 19; Reliability; SARS; CoV-2; SRGM; Exponential Distribution;

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COVID- 2019, A pandemic, a deadly disease, a monster and many more terms define this virus that outbreak globally in the past 3 months. It has lightened up a bizarre wave of medical as well as technical research to seek the track of its cause, spread, effects and cure. The word corona can be rerated to mathematics too. In mathematics, the corona theorem is a result of the spectrum of the bounded holomorphic functions on the open unit disc, conjectured by Kakutani (1941) and proved by Lennart Carleson (1962), whereas medically speaking it is analysed as the SARS and CoV-2 virus combined causing COVID – 19.In this research paper, an attempt has been done to find out the extent of reliability of COVID – 19 using Goel-Okumoto Software Reliability Growth Model (SRGM) to the extent the dataset is available. Since COVID – 19 is spreading at an exponential rate, so Goel-Okumoto SRGM is used since it uses exponential distribution method to find out the dreadfulness of the disease.

Last modified: 2021-01-06 14:16:35