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Paper Title : VARIOUS SOFTWARE TEST CASES FOR COVID-19 POSITIVE CASES PREDICTION SYSTEM

ISSN : 2395-1303
Year of Publication : 2022
10.5281/zenodo.7296063

Authors: Guntipally Shubhasri, Dr. G.N.R. Prasad

         


Abstract
In the process of developing software, testing is essential. Testing is a crucial and beneficial phase of the software development life cycle in every organisation. Software testing methodologies vary from firm to company. Testing software is not a simple process. There will be difficulties with both coding and decoding every single day. In order to enhance decision- making regarding the future course of action, machine learning (ML) based forecasting methods have demonstrated their usefulness to foresee in perioperative outcomes. The detection and prioritisation of negative aspects for a threat was a long-standing requirement in many application domains where ML models were deployed. Many prediction techniques are now in use to address forecasting issues. This study demonstrates how machine learning (ML) models may be used to forecast the number of COVID-19 patients who will be affected in the future, which is currently regarded to be a threat to mankind. Four widely used forecasting models, including support vector machine (SVM) and linear regression (LR), were used in this study to anticipate the potentially dangerous ingredients (SVM).

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Keywords
— Software Testing, Machine learning, Covid-19, Linear Regression, Support vector machine.