Software Engineering for Internet of Things

Fahmideh, M; Abbasi, AA; Behnaz, A; Grundy, J; Susilo, W

Software Engineering for Internet of Things

Fahmideh, M Abbasi, AA Behnaz, A Grundy, J Susilo, W

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Publisher:: Institute of Electrical and Electronics Engineers
Publication Type:: Journal Article
Citation:: IEEE Transactions on Software Engineering, 2022, 48, (8), pp. 2857-2878
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Fahmideh, M
dc.contributor.author	Abbasi, AA
dc.contributor.author	Behnaz, A
dc.contributor.author	Grundy, J
dc.contributor.author	Susilo, W
dc.date.accessioned	2023-04-05T03:14:59Z
dc.date.available	2023-04-05T03:14:59Z
dc.date.issued	2022-01-01
dc.identifier.citation	IEEE Transactions on Software Engineering, 2022, 48, (8), pp. 2857-2878
dc.identifier.issn	0098-5589
dc.identifier.issn	1939-3520
dc.identifier.uri	http://hdl.handle.net/10453/169155
dc.description.abstract	Internet of Things based systems (IoT systems for short) are becoming increasingly popular across different industrial domains and their development is rapidly increasing to provide value-added services to end-users and citizens. Little research to date uncovers the core development process lifecycle needed for IoT systems, and thus software engineers find themselves unprepared and unfamiliar with this new genre of system development. To ameliorate this gap, we conducted a mixed quantitative and qualitative research study where we derived a conceptual process framework from the extant literature on IoT, through which 27 key tasks for incorporation into the development processes of IoT systems were identified. The framework was then validated by means of a survey of 127 IoT practitioners from 35 countries across 6 continents with 15 different industry backgrounds. Our research provides an understanding of the most important development process tasks and informs both software engineering practitioners and researchers of the challenges and recommendations related to the development of next-generation of IoT systems.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers
dc.relation.ispartof	IEEE Transactions on Software Engineering
dc.relation.isbasedon	10.1109/TSE.2021.3070692
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0803 Computer Software, 0806 Information Systems, 0906 Electrical and Electronic Engineering
dc.subject.classification	Software Engineering
dc.title	Software Engineering for Internet of Things
dc.type	Journal Article
utslib.citation.volume	48
utslib.for	0803 Computer Software
utslib.for	0806 Information Systems
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2023-04-05T03:14:57Z
pubs.issue	8
pubs.publication-status	Published
pubs.volume	48
utslib.citation.issue	8

Abstract:

Internet of Things based systems (IoT systems for short) are becoming increasingly popular across different industrial domains and their development is rapidly increasing to provide value-added services to end-users and citizens. Little research to date uncovers the core development process lifecycle needed for IoT systems, and thus software engineers find themselves unprepared and unfamiliar with this new genre of system development. To ameliorate this gap, we conducted a mixed quantitative and qualitative research study where we derived a conceptual process framework from the extant literature on IoT, through which 27 key tasks for incorporation into the development processes of IoT systems were identified. The framework was then validated by means of a survey of 127 IoT practitioners from 35 countries across 6 continents with 15 different industry backgrounds. Our research provides an understanding of the most important development process tasks and informs both software engineering practitioners and researchers of the challenges and recommendations related to the development of next-generation of IoT systems.

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http://hdl.handle.net/10453/169155