Software Engineering in IoT, Big Data, Cloud and Mobile Computing

This edited book presents scientific results of the International Semi-Virtual Workshop on Software Engineering in IoT, Big data, Cloud and Mobile Computing (SE-ICBM 2020) which was held on October 15, 2020, at Soongsil University, Seoul, Korea. The aim of this workshop was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them.

The workshop organizers selected the best papers from those papers accepted for presentation at the workshop. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 17 of the conference's most promising papers are then published in this Springer (SCI) book and not the conference proceedings. We impatiently await the important contributions that we know these authors will bring to the field of computer and information science.

Inhalt

Variability Modeling in Software Product Line: A Systematic Literature Review.- The Use of Big Data Analytics to Improve the Supply Chain Performance in Logistics Industry.- Development of Smart U-Health Care Systems.- An Implementation of a System for Video Translation Using OCR.- Research on Predicting Ignition Factors Through Big Data Analysis of Fire Data.- Development of U-health Care Systems Using Big Data.- Secure Transactions Management Using Blockchain as a Service Software for the Internet of Things.- The Triple Layered Business Model Canvas for Sustainability in Mobile Messenger Service.- The Effects of Product's Visual Preview on Customer Attention and Sales using Convolution Neural Networks.- The Optimal Use of Public Cloud Service Provider When Transitioning Microservice Architecture.