When Code Meets Things: The FLOSS Side of IoT Systems
The growing adoption of Internet of Things (IoT) systems in domains such as smart cities, industry 4.0, and embedded devices poses new challenges to software engineering. This study aims to characterize Free/Libre and Open Source Software (FLOSS) projects related to IoT, focusing on Real-Time Operating Systems (RTOS) and Development Tools (DT). We analyzed 25 GitHub repositories using quantitative metrics grouped into popularity, deliverability, and community attributes. Through K-Means clustering and correlation analysis, we identified four main project clusters and their distinctive traits. Results indicate that most FLOSS IoT systems projects rely on C/C++, suitable for resource-constrained environments. Strong positive correlations between Forks–Issues and Watchers–Stars suggest that more popular projects foster greater community engagement. RTOS projects show deeper collaboration, while DT projects exhibit broader popularity. These findings provide insights into the collaborative dynamics and sustainability of FLOSS IoT ecosystems.
Sat 18 AprDisplayed time zone: Brasilia, Distrito Federal, Brazil change
16:00 - 17:30 | Development Support and Engineering & Reverse-engineeringSERP4IoT at Capri I Chair(s): Rodrigo Morales Concordia University | ||
16:00 10mShort-paper | Bootstrapping IoT Provisioning with PoMA SERP4IoT | ||
16:10 20mFull-paper | A Hybrid AHP-TOPSIS Approach for Selecting Message Brokers in IoT Applications SERP4IoT Mahdi Turki École de technologie supérieure, Ghizlane El Boussaidi École de Technologie Supérieure, Imen Benzarti Software and Information Technology Engineering Department, École de Technologie Supérieure, Ikram Darif University of Ottawa, Hafedh Mili Université du Québec à Montréal | ||
16:30 10mShort-paper | When Code Meets Things: The FLOSS Side of IoT Systems SERP4IoT Igor Pereira Federal University of Ouro Preto, Tiago Carneiro University Federal of Ouro Preto, Eduardo Figueiredo Federal University of Minas Gerais | ||
16:40 20mFull-paper | Towards moving target defense for IoT malware detection SERP4IoT Ita Ryan University College Cork, Luke Kurlandski Rochester Institute of Technology, Nate Mathews Rochester Institute of Technology | ||
17:00 20mFull-paper | Reverse Engineering and Control-Aware Security Analysis of the ArduPilot UAV Framework SERP4IoT Yasaswini Konapalli University of North Texas, Lotfi Ben Othmane University of North Texas, Cihan Tunc University of North Texas, USA, Feras Benchellal University of North Texas, Likhita Mudagere Shivaraj University of North Texas Media Attached | ||
17:20 10mShort-paper | A Visual Block Programming Environment for Home Assistant: A Progress Report SERP4IoT Mi-Hyeon Seo Chonnam National University, Hyeon-Ah Moon Chonnam National University, Kwanghoon Choi Chonnam National University, Seungchan Park IGLOO Corp., Byeong-Mo Chang Media Attached | ||