Automated onfiguration in adaptive IoT software ecosystems to reduce manual device integration effort: Application and evaluation of a novel engineering method


Burzlaff, Fabian ; Jacobs, Steffen ; Bartelt, Christian



DOI: tba
Document Type: Conference or workshop publication
Year of publication: 2020
Book title: ADAPTIVE 2020 : The Twelfth International Conference on Adaptive and Self-Adaptiive Systems and Applications, October 25, 2020 to October 29, 2020 - Nice, France
Page range: tba
Conference title: ADAPTIVE 2020
Location of the conference venue: Nice, France
Date of the conference: 25.-29.10.2020
Place of publication: Wilmington, DC ; Red Hook
Publishing house: IARIA ; Curran
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik II (Stuckenschmidt 2009-)
Außerfakultäre Einrichtungen > Institut für Enterprise Systems (InES)
Subject: 004 Computer science, internet
Abstract: Existing scientific approaches that integrate non-standardized software components automatically are seldom used in practice. Consequently, practitioners currently rely on standardization initiatives or they implement software adapters manually. However, standards quickly lose their claim for correctness as fast innovation cycles prohibit timeliness of machine-understandable domain standards for open and dynamically evolving software ecosystems. Although scientifically driven approaches can be applied in order to automatically generate software adapters reliably, they require a formal mapping specification for all possible integrations between a provided and a required interface at system design-time. In contrast, imprecise matching approaches based on service specifications can be applied at run-time but cannot produce reliable interface mappings. In this paper, we provide our first evaluation for a novel integration method that can integrate components automatically based on incomplete mapping knowledge. Although this method explicitly embraces manual integration efforts, we aim at achieving automatic adapter generation by making additionally formalized integration knowledge reusable. By storing integration knowledge only when a concrete use case is present, generated software adapters remain reliable. Using an empirical within-subject evaluation design, we quantify how reusing formal interface mappings can speed up integration tasks in an agile development setting. We expect the proposed method to be applied in adaptive software ecosystems that evolve in short innovation cycles such as the Internet-of-Things.

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Burzlaff, Fabian ORCID: 0000-0003-0632-5933 ; Jacobs, Steffen ; Bartelt, Christian Automated onfiguration in adaptive IoT software ecosystems to reduce manual device integration effort: Application and evaluation of a novel engineering method. tba In: ADAPTIVE 2020 : The Twelfth International Conference on Adaptive and Self-Adaptiive Systems and Applications, October 25, 2020 to October 29, 2020 - Nice, France (2020) Wilmington, DC ; Red Hook ADAPTIVE 2020 (Nice, France) [Conference or workshop publication]


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