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

Krupitzer, Christian and Drechsel, Guido and Mateja, Deborah and Pollklasener, Alina and Schrage, Florian and Sturm, Timo and Tomasovic, Aleksandar and Becker, Christian (2018):
Using Spreadsheet-defined Rules for Reasoning in Self-Adaptive Systems.
In: 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Athens, Greece, DOI: 10.1109/PERCOMW.2018.8480283, [Online-Edition: https://ieeexplore.ieee.org/abstract/document/8480283],
[Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Krupitzer, Christian and Drechsel, Guido and Mateja, Deborah and Pollklasener, Alina and Schrage, Florian and Sturm, Timo and Tomasovic, Aleksandar and Becker, Christian
Title: Using Spreadsheet-defined Rules for Reasoning in Self-Adaptive Systems
Language: English
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.

Divisions: 01 Department of Law and Economics
01 Department of Law and Economics > Betriebswirtschaftliche Fachgebiete
01 Department of Law and Economics > Betriebswirtschaftliche Fachgebiete > Fachgebiet Software Business & Information Management
Event Title: 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
Event Location: Athens, Greece
Date Deposited: 15 May 2019 08:39
DOI: 10.1109/PERCOMW.2018.8480283
Official URL: https://ieeexplore.ieee.org/abstract/document/8480283
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