Self-explaining Digital Systems: Technical View, Implementation Aspects, and Completeness

Fey, Görschwin; Drechsler, Rolf

doi:10.1007/978-3-030-20323-8_1

Cited by 3 publications

(2 citation statements)

References 26 publications

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“…In a more recent work, Fey and Drechsler proposed a conceptual framework based on aforementioned layers of explanations [32]. Explanations are modelled as cause-effect relationships that can be combined transitively resulting in a cause-effect chain.…”

Section: Related Workmentioning

confidence: 99%

Self-Organizing and Self-Explaining Pervasive Environments by Connecting Smart Objects and Applications

2022

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In the past decade, pervasive environments have progressed from promising research concepts to available products present in our everyday lives. By connecting multiple smart objects, device ensembles can be formed to assist users in performing tasks. Furthermore, smart objects can be used to control applications, that, in turn, can be used to control other smart objects. As manual configuration is often time-consuming, an automatic connection of the components may present a useful tool, which should take various aspects into account. While dynamically connecting these components allows for solutions tailored to the needs and respective tasks of a user, it obfuscates the handling and ultimately may decrease usability. Self-descriptions have been proposed to overcome this issue for ensembles of smart objects. For a more extensive approach, descriptions of applications in pervasive environments need to be addressed as well. Based on previous research in the context of self-explainability of smart objects, we propose a description language as well as a framework to support self-explaining ambient applications (applications that are used within smart environments). The framework can be used to manually or automatically connect smart objects as well as ambient applications and to realize self-explainability for these interconnected device and application ensembles.

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Section: Related Workmentioning

confidence: 99%

Self-Organizing and Self-Explaining Pervasive Environments by Connecting Smart Objects and Applications

2022

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“…Recently, a conceptual framework based on different layers of explanations has been proposed to provide selfexplainability capabilities [11]. To explain actions and their cause, cause-effect relationship models are transitively combined to cause-effect chains.…”

Section: Related Workmentioning

confidence: 99%