Towards a Roadmap for the Internet of Things Software Systems Engineering
Authors: 
Rebeca Campos Motta, Káthia Marçal de Oliveira, Guilherme Horta TravassosAuthors Info & Claims
Pages 111 - 114
Abstract
New technologies and approaches lead to the Internet of Things (IoT) paradigm. Such a paradigm enables the engineering of more autonomous and smarter software systems solutions. Due to its multidisciplinary nature, it involves several knowledge areas such as software and connectivity that should be combined coherently and uniformly. It should comprise different voices and expertise to deal with IoT in a multi-faceted way. In this context, what to consider while specifying, designing, and implementing IoT software systems? This work raises this discussion by defining a roadmap about what should be considered for engineering IoT software respecting all their facets. Such a roadmap is defined based on evidence acquired at the technical literature combined with a qualitative study.
References
[1]
Giorgia Acerbi, et al. 2017. A Wearable System for Stress Detection Through Physiological Data Analysis. In Ambient Assisted Living, Springer Publishing, 31--50.
[2]
Yuri Álvarez López et al. 2018. RFID technology for management and tracking: E-health applications. Sensors (Switzerland) 18, 8 (2018), 1--17.
[3]
Victor R. Basili, Gianluigi Caldeira, and H. Dieter Rombach. 1994. Goal Question Metric Paradigm.
[4]
Christine Bauer and Anind K. Dey. 2016. Considering context in the design of intelligent systems: Current practices and suggestions for improvement. In JSS 112, 26--47.
[5]
BKCASE Governing Board. 2014. Guide to the Systems Engineering Body of Knowledge (SEBoK) v. 1.3.1. (2014), 945.
[6]
Bruno Cartaxo, Gustavo Pinto, and Sergio Soares. 2018. The Role of Rapid Reviews in Supporting Decision-Making in Software Engineering Practice. In EASE'18, ACM Press, New York, New York, USA, 24--34.
[7]
Xin Gao, Bo Zhang, and Shudan Li. 2016. A 220-volts power switch controlled through WiFi. In ICCCI, IEEE, 526--529.
[8]
Ivar Jacobson, Ian Spence, and Pan-Wei Ng. 2017. Is there a single method for the internet of things? Communications of the ACM 60, 11 (October 2017), 46--53.
[9]
Rebeca C. Motta, Káthia M. de Oliveira, and Guilherme H. Travassos. 2018. On challenges in engineering IoT software systems. In JSERD, ACM Press, Sao Carlos, Brazil, 42--51.
[10]
Rebeca Motta, Valéria Silva, and Guilherme Travassos. 2019. Towards a more in-depth understanding of the IoT Paradigm and its challenges. JSERD 7, (August 2019), 3.
[11]
Madhukar Pai et. al. 2004. Clinical Research Methods Systematic reviews and meta-analyses: An illustrated, step-by-step guide. the National Medical Journal of India 17, 2 (2004), 86--95.
[12]
Shari Lawrence Pfleeger and Joanne M Atlee. 1998. Software engineering: theory and practice. Pearson Education India.
[13]
Francesco Salamone et. al. 2017. Design and development of a nearablewireless system to control indoor air quality and indoor lighting quality. Sensors (Switzerland) 17, 5 (2017).
[14]
Anselm Strauss and Juliet Corbin. 1990. Basics of qualitative research: Techniques and procedures for developing grounded theory. Sage Publications, Inc, Newbury Park.
[15]
Andrea C. Tricco et. al. 2015. A scoping review of rapid review methods. BMC Medicine 13, 1 (2015).
[16]
Claes Wohlin. 2014. Guidelines for snowballing in systematic literature studies and a replication in software engineering. In EASE '14, ACM Press.
[17]
Claes Wohlin et. al. 2012. Experimentation in software engineering. Springer Science & Business Media.
[18]
Franco Zambonelli. 2017. Key Abstractions for IoT-Oriented Software Engineering. IEEE Software (2017).
Index Terms
- Towards a Roadmap for the Internet of Things Software Systems Engineering
Recommendations
A framework to support the engineering of internet of things software systems
EICS '19: Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing SystemsInternet of Things is a technology paradigm that enables the interaction of devices and communications technologies with embedded software, integrating different areas and multidisciplinarity. It is built from smart objects, that relies on things ...
Towards a strategy for supporting the engineering of IoT software systems
EICS '19: Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing SystemsThe Internet of Things (IoT) represents a promising paradigm for the integration of communication devices and technologies leading to a shift from the classical view of development. Their engineering presents challenges since it enables different system ...
An evidence-based roadmap for IoT software systems engineering
Abstract Context:The Internet of Things (IoT) has brought expectations for software inclusion in everyday objects. However, it has challenges and requires multidisciplinary technical knowledge involving different areas that should be combined to enable ...
Highlights- An overview of seven IoT Facets involved in IoT systems engineering.
- The IoT Conceptual Framework, integrating facets with System Engineering Life Cycle.
- The IoT Roadmap, with 117 recommendations for engineering IoT software ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
November 2020
170 pages
ISBN:9781450381154
DOI:10.1145/3415958
- General Chairs:
- Richard Chbeir,
- Yannis Manolopoulos,
- Ernesto Damiani,
- Djamal Benslimane,
- Program Chairs:
- Ladjel Bellatreche,
- Tadeusz Morzy
Copyright © 2020 ACM.
Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.
In-Cooperation
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 27 November 2020
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Funding Sources
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Conference
MEDES '20
MEDES '20: 12th International Conference on Management of Digital EcoSystems
November 2 - 4, 2020
Virtual Event, United Arab Emirates
Acceptance Rates
MEDES '20 Paper Acceptance Rate 19 of 27 submissions, 70%;
Overall Acceptance Rate 267 of 682 submissions, 39%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 86Total Downloads
- Downloads (Last 12 months)2
- Downloads (Last 6 weeks)0
Reflects downloads up to 08 Feb 2025
Other Metrics
Citations
Cited By
View allView Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in