Special Issue "COVID-19 impacts on Software Engineering industry and research community"

Submission Deadline: 15 November 2020 (closed)
Guest Editors
Dr. Arif Ali Khan, Nanjing University of Aeronautics and Astronautics, China.
Dr. Alok Mishra, Norway & Atilim University, Turkey.
Dr. Dac-Nhuong Le, Haiphong University, Haiphong, Vietnam.

Summary

The COVID-19 spread from animals to humans in the Wuhan city of China and it causes outbreak of respiratory illness. The spreading speed of COVID-19 is unpredictable and one-quarter of the population across the world is in lockdown. Some regions have handful of cases. Different countries are declaring emergencies and demanding the people to bring drastic behavior changes in their everyday life and work. It would help to control the spread of the virus.

The global pandemic deepens and it is going to have a significant impact on the industries specifically the global tech industry. Most of the highly affected regions including China and USA have large contribution in the technology industry and they are facilitating the global tech supply chain. The COVID-19 outbreaks impact the working style of the industries and research communities including software engineering. It brings changes in the processes, collaboration tools and methods. The outbreak brings significant change in the working environment and infrastructure of software engineering practitioners and researchers. The long-term impacts of the COVID-19 pandemic are still unpredictable and could be seen in the coming years.

The aim of this special issue is to provide a platform for both practitioners and researchers to discuss the studies for managing the COVID-19 aspects in the domain of software engineering including managerial, organizational, economical, and technical.

This issue will provide an opportunity to propose new techniques, tools, frameworks and approaches to minimize the impacts of COVID-19 outbreak on the software engineering industry and research community.

There is no specific topic restriction and all those studies will be considered which are conducted in the domain of COVID-19 and software engineering. However, the following are suggested topics (not limited):

• Computational analysis and forecasting the impact of COVID-19 on the software industry

• Impact of COVID lockdown on practitioners and researchers working environment

• COVID-19 impact on practitioner productivity

• Psychological effects of COVID-19 on research and industrial community

• Financial and economic impacts of COVID-19 lockdown on the software development industry

• Remote working environment

• Effects of COVID-19 on software and research quality

• Long-lasting effects of COVID-19 on the mental and physical health of practitioners and researchers

• COVID-19 outbreak impacts on software engineering research activities


Keywords
Software Engineering, Industry, Research, COVID-19

Published Papers
  • Tele-COVID: A Telemedicine SOA-Based Architectural Design for COVID-19 Patients
  • Abstract In Wuhan, China, a novel Corona Virus (COVID-19) was detected in December 2019; it has changed the entire world and to date, the number of diagnosed cases is 38,756,2891 and 1,095,2161 people have died. This happened because a large number of people got affected and there is a lack of hospitals for COVID-19 patients. One of the precautionary measures for COVID-19 patients is isolation. To support this, there is an urgent need for a platform that makes treatment possible from a distance. Telemedicine systems have been drastically increasing in number and size over recent years. This increasing number intensifies the… More
  •   Views:55       Downloads:37        Download PDF

  • COVID-19 and Unemployment: A Novel Bi-Level Optimal Control Model
  • Abstract Since COVID-19 was declared as a pandemic in March 2020, the world’s major preoccupation has been to curb it while preserving the economy and reducing unemployment. This paper uses a novel Bi-Level Dynamic Optimal Control model (BLDOC) to coordinate control between COVID-19 and unemployment. The COVID-19 model is the upper level while the unemployment model is the lower level of the bi-level dynamic optimal control model. The BLDOC model’s main objectives are to minimize the number of individuals infected with COVID-19 and to minimize the unemployed individuals, and at the same time minimizing the cost of the containment strategies. We… More
  •   Views:46       Downloads:26        Download PDF

  • E-Learning during COVID-19 Outbreak: Cloud Computing Adoption in Indian Public Universities
  • Abstract In the COVID-19 pandemic situation, the need to adopt cloud computing (CC) applications by education institutions, in general, and higher education (HE) institutions, in particular, has especially increased to engage students in an online mode and remotely carrying out research. The adoption of CC across various sectors, including HE, has been picking momentum in the developing countries in the last few years. In the Indian context, the CC adaptation in the HE sector (HES) remains a less thoroughly explored sector, and no comprehensive study is reported in the literature. Therefore, the aim of the present study is to overcome this… More
  •   Views:261       Downloads:100        Download PDF