Using spreadsheet-defined rules for reasoning in self-adaptive systems


Krupitzer, Christian ; Drechsel, Guido ; Mateja, Deborah ; Pollkäsener, Alina ; Schrage, Florian ; Sturm, Timo ; Tomasovic, Aleksandar ; Becker, Christian



DOI: https://doi.org/10.1109/PERCOMW.2018.8480283
URL: https://ieeexplore.ieee.org/document/8480283
Dokumenttyp: Konferenzveröffentlichung
Erscheinungsjahr: 2018
Buchtitel: 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 : Athens, Greece, March 19-23, 2018
Seitenbereich: 289-294
Veranstaltungstitel: 2nd International Workshop on Mobile and Pervasive Internet of Things (PerIoT 2018)
Veranstaltungsort: Athens, Greece
Veranstaltungsdatum: 19.-23.03. 2018
Ort der Veröffentlichung: Piscataway, NJ
Verlag: IEEE Computer Society
ISBN: 978-1-5386-3228-4 , 978-1-5386-3227-7 , 978-1-5386-3226-0
Sprache der Veröffentlichung: Englisch
Einrichtung: Fakultät für Betriebswirtschaftslehre > Wirtschaftsinformatik II (Becker 2006-2021)
Fachgebiet: 004 Informatik
Abstract: Using rules to capture adaptation knowledge is a common approach for self-adaptive systems. Rule-based reasoning, i.e., using rules to analyze and plan adaptations, has several advantages: (i) it is easy to implement, (ii) it offers fast reasoning, and (iii) it works on resource-spare systems as historical knowledge is not required. Hence, the needed computational power is low and it perfectly suits systems in the pervasive IoT domain. However, the codification of rules poses a challenge to the system design. Existing approaches often require a specific syntax or programming language. Additionally, some approaches force the developer to customize the reasoning mechanism, hence, to reimplement parts of the reasoning. To address these shortcomings, we propose a reusable approach for rule-based reasoning in this paper. Rules can be defined in a spreadsheet without the need to neither learn a syntax nor implement a single line of code. We evaluate the benefits of our approach in two case studies conducted by Master students as well as a quantitative evaluation.







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