SmartProvenance: User‐friendly provenance system for internet of things applications based on event flow graphs
Abstract Internet of things (IoT) applications called SmartApps are event‐driven programs running on the SmartThings cloud. To understand the behaviour of SmartApps, users may have questions regarding which execution flows follow particular events or why specific actions occur. However, checking int...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-12-01
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| Series: | IET Software |
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| Online Access: | https://doi.org/10.1049/sfw2.12071 |
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| _version_ | 1832546675879575552 |
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| author | Byeong‐Mo Chang Kyung‐Min Lee Ga‐Young Koh Kwanghoon Choi |
| author_facet | Byeong‐Mo Chang Kyung‐Min Lee Ga‐Young Koh Kwanghoon Choi |
| author_sort | Byeong‐Mo Chang |
| collection | DOAJ |
| description | Abstract Internet of things (IoT) applications called SmartApps are event‐driven programs running on the SmartThings cloud. To understand the behaviour of SmartApps, users may have questions regarding which execution flows follow particular events or why specific actions occur. However, checking internal programme behaviours, such as event‐driven execution flows, is more difficult for users because SmartApps run on the cloud. In this paper, we propose SmartProvenance, which is a provenance system for IoT applications and provides a graphical user interface (GUI) environment for provenance queries on event flow graphs. The event flow graph of a SmartApp visualises all execution control flows initiated by events, which are constructed by performing static programme analysis. The graph is decorated with dynamically collected event and action information in the GUI interface for provenance queries. Then, users can query the provenance by simply clicking on the graph. An event flow graph as the form of a GUI for queries in the SmartProvenance system allows users to view IoT services by all possible event flow paths in a SmartApp. Thus, the provenance information being visualised on the event flow graph can be intuitively understood in the context of IoT services. Therefore, users can answer provenance questions themselves without difficulty. |
| format | Article |
| id | doaj-art-813e7eb8b3354ab38ede3a4c2a029c82 |
| institution | Kabale University |
| issn | 1751-8806 1751-8814 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Software |
| spelling | doaj-art-813e7eb8b3354ab38ede3a4c2a029c822025-02-03T06:47:35ZengWileyIET Software1751-88061751-88142022-12-0116657660210.1049/sfw2.12071SmartProvenance: User‐friendly provenance system for internet of things applications based on event flow graphsByeong‐Mo Chang0Kyung‐Min Lee1Ga‐Young Koh2Kwanghoon Choi3Department of Computer Science Sookmyung Women's University Seoul Republic of KoreaDepartment of Computer Science Sookmyung Women's University Seoul Republic of KoreaDepartment of Computer Science Sookmyung Women's University Seoul Republic of KoreaDepartment of Software Engineering Chonnam National University Gwangju Republic of KoreaAbstract Internet of things (IoT) applications called SmartApps are event‐driven programs running on the SmartThings cloud. To understand the behaviour of SmartApps, users may have questions regarding which execution flows follow particular events or why specific actions occur. However, checking internal programme behaviours, such as event‐driven execution flows, is more difficult for users because SmartApps run on the cloud. In this paper, we propose SmartProvenance, which is a provenance system for IoT applications and provides a graphical user interface (GUI) environment for provenance queries on event flow graphs. The event flow graph of a SmartApp visualises all execution control flows initiated by events, which are constructed by performing static programme analysis. The graph is decorated with dynamically collected event and action information in the GUI interface for provenance queries. Then, users can query the provenance by simply clicking on the graph. An event flow graph as the form of a GUI for queries in the SmartProvenance system allows users to view IoT services by all possible event flow paths in a SmartApp. Thus, the provenance information being visualised on the event flow graph can be intuitively understood in the context of IoT services. Therefore, users can answer provenance questions themselves without difficulty.https://doi.org/10.1049/sfw2.12071applicationsevent‐flow graphIoTprovenance |
| spellingShingle | Byeong‐Mo Chang Kyung‐Min Lee Ga‐Young Koh Kwanghoon Choi SmartProvenance: User‐friendly provenance system for internet of things applications based on event flow graphs IET Software applications event‐flow graph IoT provenance |
| title | SmartProvenance: User‐friendly provenance system for internet of things applications based on event flow graphs |
| title_full | SmartProvenance: User‐friendly provenance system for internet of things applications based on event flow graphs |
| title_fullStr | SmartProvenance: User‐friendly provenance system for internet of things applications based on event flow graphs |
| title_full_unstemmed | SmartProvenance: User‐friendly provenance system for internet of things applications based on event flow graphs |
| title_short | SmartProvenance: User‐friendly provenance system for internet of things applications based on event flow graphs |
| title_sort | smartprovenance user friendly provenance system for internet of things applications based on event flow graphs |
| topic | applications event‐flow graph IoT provenance |
| url | https://doi.org/10.1049/sfw2.12071 |
| work_keys_str_mv | AT byeongmochang smartprovenanceuserfriendlyprovenancesystemforinternetofthingsapplicationsbasedoneventflowgraphs AT kyungminlee smartprovenanceuserfriendlyprovenancesystemforinternetofthingsapplicationsbasedoneventflowgraphs AT gayoungkoh smartprovenanceuserfriendlyprovenancesystemforinternetofthingsapplicationsbasedoneventflowgraphs AT kwanghoonchoi smartprovenanceuserfriendlyprovenancesystemforinternetofthingsapplicationsbasedoneventflowgraphs |