Software Engineering for the Internet of Things

Xabier Larrucea; Annie Combelles; John Favaro; Kunal Taneja

doi:10.1109/MS.2017.28

Software Engineering for the Internet of Things

Xabier Larrucea, Annie Combelles, John Favaro, Kunal Taneja

Tecnalia Research & Innovation

Research output: Contribution to journal › Review article › peer-review

70 Citations (Scopus)

Abstract

No consolidated set of software engineering best practices for the Internet of Things (IoT) has yet emerged. Too often, the landscape resembles the Wild West, with unprepared programmers putting together IoT systems in ad hoc fashion and throwing them out into the market, often poorly tested. In addition, the academic sector is in danger of fragmenting into specialized, often unrelated research areas. This IEEE Software theme issue aims to help provide the basis for a set of best practices that will guide the industry through the challenges of software engineering for the IoT.

Original language	English
Article number	7819384
Pages (from-to)	24-28
Number of pages	5
Journal	IEEE Software
Volume	34
Issue number	1
DOIs	https://doi.org/10.1109/MS.2017.28
Publication status	Published - 1 Jan 2017

Keywords

cyber-physical systems
Internet of Things
IoT
model-based software engineering
scalability
software development
software engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/MS.2017.28

Cite this

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KW - Internet of Things

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KW - scalability

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Software Engineering for the Internet of Things

Abstract

Keywords

UN SDGs

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