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
  • Analyzing COVID-2019 Impact on Mental Health Through Social Media Forum
  • Abstract This study aims to identify the potential association of mental health and social media forum during the outbreak of COVID-19 pandemic. COVID-19 brings a lot of challenges to government globally. Among the different strategies the most extensively adopted ones were lockdown, social distancing, and isolation among others. Most people with no mental illness history have been found with high risk of distress and psychological discomfort due to anxiety of being infected with the virus. Panic among people due to COVID-19 spread faster than the disease itself. The misinformation and excessive usage of social media in this pandemic era have adversely… More
  •   Views:238       Downloads:133        Download PDF

  • Time Series Facebook Prophet Model and Python for COVID-19 Outbreak Prediction
  • Abstract COVID-19 comes from a large family of viruses identified in 1965; to date, seven groups have been recorded which have been found to affect humans. In the healthcare industry, there is much evidence that Al or machine learning algorithms can provide effective models that solve problems in order to predict confirmed cases, recovered cases, and deaths. Many researchers and scientists in the field of machine learning are also involved in solving this dilemma, seeking to understand the patterns and characteristics of virus attacks, so scientists may make the right decisions and take specific actions. Furthermore, many models have been considered… More
  •   Views:389       Downloads:200        Download PDF

  • Using Susceptible-Exposed-Infectious-Recovered Model to Forecast Coronavirus Outbreak
  • Abstract The Coronavirus disease 2019 (COVID-19) outbreak was first discovered in Wuhan, China, and it has since spread to more than 200 countries. The World Health Organization proclaimed COVID-19 a public health emergency of international concern on January 30, 2020. Normally, a quickly spreading infection that could jeopardize the well-being of countless individuals requires prompt action to forestall the malady in a timely manner. COVID-19 is a major threat worldwide due to its ability to rapidly spread. No vaccines are yet available for COVID-19. The objective of this paper is to examine the worldwide COVID-19 pandemic, specifically studying Hubei Province, China;… More
  •   Views:338       Downloads:175        Download PDF

  • Technology Landscape for Epidemiological Prediction and Diagnosis of COVID-19
  • Abstract The COVID-19 outbreak initiated from the Chinese city of Wuhan and eventually affected almost every nation around the globe. From China, the disease started spreading to the rest of the world. After China, Italy became the next epicentre of the virus and witnessed a very high death toll. Soon nations like the USA became severely hit by SARS-CoV-2 virus. The World Health Organisation, on 11th March 2020, declared COVID-19 a pandemic. To combat the epidemic, the nations from every corner of the world has instituted various policies like physical distancing, isolation of infected population and researching on the potential vaccine… More
  •   Views:271       Downloads:189        Download PDF

  • Analyzing COVID-19 Impact on the Researchers Productivity through Their Perceptions
  • Abstract Context: Since the end of 2019, the COVID-19 pandemic had a worst impact on world’s economy, healthcare, and education. There are several aspects where the impact of COVID-19 could be visualized. Among these, one aspect is the productivity of researcher, which plays a significant role in the success of an organization. Problem: There are several factors that could be aligned with the researcher’s productivity of each domain and whose analysis through researcher’s feedback could be beneficial for decision makers in terms of their decision making and implementation of mitigation plans for the success of an organization. Method: We perform an… More
  •   Views:310       Downloads:180        Download PDF

  • Economical Requirements Elicitation Techniques During COVID-19: A Systematic Literature Review
  • Abstract Requirements elicitation is a fundamental phase of software development in which an analyst discovers the needs of different stakeholders and transforms them into requirements. This phase is cost- and time-intensive, and a project may fail if there are excessive costs and schedule overruns. COVID-19 has affected the software industry by reducing interactions between developers and customers. Such a lack of interaction is a key reason for the failure of software projects. Projects can also fail when customers do not know precisely what they want. Furthermore, selecting the unsuitable elicitation technique can also cause project failure. The present study, therefore, aimed… More
  •   Views:367       Downloads:208        Download PDF

  • 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:476       Downloads:318        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:422       Downloads:240        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:780       Downloads:380        Download PDF