Macroprogramming in the Internet of Things: A Systematic Mapping Study

Abstract

The macroprogramming concept relates to the ability to abstract low-level details from a variety of devices. In this sense, programming solutions for the Internet of Things (IoT) with macroprogramming can be an alternative to the challenges of volume and heterogeneity. This paper describes a systematic mapping on macroprogramming in IoT and wireless sensor networks from 2004 to 2020. As a result, we verify the recurrence of abstractions in the network infrastructure, highlighting the use of frameworks in one-third of the applications, contributing to provide an overview of the use of macroprogramming by researchers in different areas of knowledge.

The state of the art of macroprogramming in IoT: An update

“…To summarise, the answer to RQ1 is roughly the same as this SLM's previous version (Santana et al, 2021): most of the macroprogramming studies in WSN with an increasing focus shift to IoT since 2015, and a diversity of application domains with an apparent inclination to smart environments in the last years. S46 Role-based automatic programming framework for interworking a drone and wireless sensor networks (Min et al, 2018) S47 snBench: Programming and virtualization framework for distributed multitasking sensor networks (Ocean et al, 2006)…”

“…Concerning publication venues, conferences and workshops cover 72% (34 of 47) of the accepted papers (see In brief, the answer to RQ2 is similar to the one described in Santana et al (2021): a significant number of studies (25%) about macroprogramming in IoT/WSN during the last four years and a heterogeneous collection of publications venues. These results suggest an increasing interest in research on macroprogramming for IoT/WSN in recent years.…”

“…An SLM identifies, selects, evaluates, interprets, and summarises relevant studies about a topic, e.g., macroprogramming in IoT/WSN. This paper extends a previous SLM we conducted on how the macroprogramming paradigm has been investigated in IoT and WSN (Santana et al, 2021). In such previous work, the search strategy included automatic search in three sources, namely ACM DL, IEEE Xplore, and Scopus.…”

“…In our previous work, we adapted the final search string to the ACM DL, IEEE Xplore, and Scopus's search engines (Santana et al, 2021). In this SLM's update, we also performed searches on studies metadata at the Engineering Village, Sci-enceDirect, Springer Link, Web of Science, and Wiley websites.…”

“…We applied the same original selection criteria to the 155 papers returned by the automatic search process (Santana et al, 2021). The exclusion criteria (EC) are:…”