ABSTRACT
COVID-19 has accelerated the growth of E-commerce revenue and market size within a few months, causing the quality of E-commerce systems to be top-notch to gain a competitive edge. This study attempts to maximize feasibility and boost confidence throughout the development of e-commerce systems. This paper presents different types of software development methodologies, including traditional and agile methodologies. This study also presents related works on software development methodologies, comprising Extreme Programming, Scrum, and Kanban, and a particular software quality model, ISO/IEC 25010. Their challenges and advantages are discussed. The sub-characteristics of ISO/IEC 25010 are mapped to the features of e-commerce systems. As a result, Scrum with frequent and effective meetings can minimize technical debt, design failures, stress, miscommunication, ambiguity, improve shared vision, continuous feedback for verification, productivity, team morale, delivery predictability, project visibility, risk reduction, and engineering discipline. The ISO/IEC 25010 contributes to the success of E-commerce systems. © 2022 Little Lion Scientific.
ABSTRACT
The SARS-CoV-2 i.e., the novel severe acute respiratory syndrome corona virus;has caused massive loss of life. Mitigating this pandemic requires rapid inexpensive technologies for testing COVID-19. Optical sensors can be used to detect the Covid-19 virus by the surface Plasmon resonance phenomenon. Surface plasmon resonance sensors have good sensitivity, response times, fine resolution, and limits of detection. This paper, provides a brief overview on the COVID-19 effects, currently used testing technology, and potential of surface plasmon resonance optical sensors use for detecting this virus. © 2021 Institute of Physics Publishing. All rights reserved.
ABSTRACT
The transmission of SARS-CoV-2, the novel severe acute respiratory syndrome corona virus have caused the corona virus disease (Covid-19) worldwide pandemic. Overcoming this pandemic requires identifying patients to avoid further spread of the disease. Real-time, sensitive, and cost-efficient methods for detecting the COVID-19 virus are crucial. Optical sensors provide one such means to achieve this, especially using surface plasmon resonance due to its advantages such as high sensitivity and excellent detection limits. In this paper, we propose a sensor for COVID-19 detection which is based on a simple Kretschmann configuration with gold layers and thiol-tethered DNA for the ligand layer. Angle interrogation was used to obtain the sensitivity of this structure using Matlab numerical analysis. The performance of the sensor was investigated with two types of prisms, SF10 and SF11, while varying the gold layer thickness between 45 - 60 nm. This information was then used to determine which combination of prism and gold thickness are ideal for detecting COVID-19 using thiol-tethered DNA. Thiol-tethered DNA layer sensor showed the highest sensitivity of 137 degree/RIU when a SF10 prism was used with a 50 - 60 nm gold layer and thiol tethered DNA layer.