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Using Spreadsheet-defined Rules for Reasoning in Self-Adaptive Systems

Krupitzer, Christian ; Drechsel, Guido ; Mateja, Deborah ; Pollklasener, Alina ; Schrage, Florian ; Sturm, Timo ; Tomasovic, Aleksandar ; Becker, Christian (2018)
Using Spreadsheet-defined Rules for Reasoning in Self-Adaptive Systems.
2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). Athens, Greece
doi: 10.1109/PERCOMW.2018.8480283
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2018
Autor(en): Krupitzer, Christian ; Drechsel, Guido ; Mateja, Deborah ; Pollklasener, Alina ; Schrage, Florian ; Sturm, Timo ; Tomasovic, Aleksandar ; Becker, Christian
Art des Eintrags: Bibliographie
Titel: Using Spreadsheet-defined Rules for Reasoning in Self-Adaptive Systems
Sprache: Englisch
Publikationsjahr: März 2018
Veranstaltungstitel: 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
Veranstaltungsort: Athens, Greece
DOI: 10.1109/PERCOMW.2018.8480283
URL / URN: https://ieeexplore.ieee.org/abstract/document/8480283
Kurzbeschreibung (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.

Fachbereich(e)/-gebiet(e): 01 Fachbereich Rechts- und Wirtschaftswissenschaften
01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete
01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Fachgebiet Software Business & Information Management
Hinterlegungsdatum: 15 Mai 2019 08:39
Letzte Änderung: 15 Mai 2019 08:39
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