A data-driven framework for knowledge exchange analysis of development issues in medical applications: A case study of COVID-19
Konstantinos Georgiou, Konstantinos Charmanas, Konstantinos Papageorgiadis, Nikolaos Mittas, Georgios Christidis, Lefteris Angelis · 2023
With medical technological advances being developed in a rapid pace, the need for effective Scientific Software Development (SSD), that can process, store and visualize medical data is ever growing. Particularly during the COVID-19 pandemic, the medical community came together to produce efficient solutions to tackle this global setback. Programmers and developers have an active role in the procurement of medical software, with many of them exchanging knowledge and opinions in Q&A portals like Stack Overflow (SO) about methodologies, techniques and programming queries. In this study we present a data-driven framework that collects, filters, stores and analyzes issues and questions for medical applications from SO, visualizing them in an intuitive manner. To highlight the functionalities of our framework, we present a case study with COVID-19 SSD related questions, providing insights and valuable information about the status of the domain.