Creating a Domain Specific Modelling Method for Ambient Assistance

Michael, Judith; Mayr, Heinrich C.

doi:10.1109/icter.2015.7377676

Cited by 19 publications

(11 citation statements)

References 24 publications

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“…Concrete support is not given [16] A procedural approach comprising macro-and micro-processes that steer the design of DSMLs Generic requirements and design guidelines for notation are described in great detail. Concrete support is out of scope [42] A procedural approach aiming to support the creation of new DSMLs Graphical notation is emphasized, but concrete support is not provided [12] Goal-and value-oriented modeling language development approach Not in focus [3] Model-driven development of multi-view modeling methods and tools Graphical notation (even viewpoint-specific ones) is emphasized, but concrete support is not provided [32] Guidance in the design of DSMLs A few guidelines for textual and graphical concrete notation are given [28] A framework guiding the development of domain-specific process modeling languages Graphical notation is emphasized, but concrete support is not provided [62] A procedural approach that focuses the development of DSMLs in the software engineering domain…”

Section: Problem Formulationmentioning

confidence: 99%

“…Three approaches [3,28,42] stress the importance of a graphical notation during the development of modeling methods, but they do not support design and evaluation of a modeling language notation. The approaches described in [16,30,32] further informally support notation design by providing guidelines or by referring to notation design literature.…”

Section: Problem Formulationmentioning

confidence: 99%

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A technique for evaluating and improving the semantic transparency of modeling language notations

Bork

Roelens

2021

Softw Syst Model

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The notation of a modeling language is of paramount importance for its efficient use and the correct comprehension of created models. A graphical notation, especially for domain-specific modeling languages, should therefore be aligned to the knowledge, beliefs, and expectations of the targeted model users. One quality attributed to notations is their semantic transparency, indicating the extent to which a notation intuitively suggests its meaning to untrained users. Method engineers should thus aim at semantic transparency for realizing intuitively understandable notations. However, notation design is often treated poorly—if at all—in method engineering methodologies. This paper proposes a technique that, based on iterative evaluation and improvement tasks, steers the notation toward semantic transparency. The approach can be efficiently applied to arbitrary modeling languages and allows easy integration into existing modeling language engineering methodologies. We show the feasibility of the technique by reporting on two cycles of Action Design Research including the evaluation and improvement of the semantic transparency of the Process-Goal Alignment modeling language notation. An empirical evaluation comparing the new notation against the initial one shows the effectiveness of the technique.

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Section: Problem Formulationmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

A technique for evaluating and improving the semantic transparency of modeling language notations

Bork

Roelens

2021

Softw Syst Model

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“…Behavior Monitoring and Support (HBMS) project [MGSM13, MSS + 18] in which a domain specific language [MM13] and domain specific modeling method for assistive systems [MM15] were developed.…”

Section: Our Current Work On Assistive Systems Is Based On Former Work Within the Humanmentioning

confidence: 99%

Innovations in Model-based Software And Systems Engineering.

Hölldobler¹,

Michael²,

Ringert³

et al. 2019

JOT

Self Cite

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Engineering software and software intensive systems has become increasingly complex over the last decades. In the ongoing digitalization of all aspects of our lives in almost every domain, including, e.g., mechanical engineering, electrical engineering, medicine, entertainment, or jurisdiction, software is not only used to enable low-level controls of machines, but also to understand system conditions and optimizations potentials.To remain in control of all these heterogeneous systems of systems, a precise, but abstract understanding of these systems is necessary. To this end, models in their various forms are an important prerequisite to gain this understanding.In this article, we summarize research activities focusing on the development and use of models in software and systems engineering. This research has been carried out by the working group of Bernhard Rumpe, which started 25 years ago in Munich, continued in Braunschweig, and since 10 years carries on at RWTH Aachen University.

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“…Later on, this audio data were used to train the smart home's speech and sound recognition systems. 40 Finally, the Human Behavior Monitoring and Support (HBMS) project 46 (this work was funded by the Klaus Tschira Stiftung gGmbH, Heidelberg) was initiated to support old or disabled individuals with cognitive impairments to live autonomously in their familiar environments. In the first phase, a person's activities of daily living are observed by the HBMS observation engine to create a Human Cognitive Model (HCM) using the Human Cognitive Modeling Language HCM-L (http://austria.omilab.org/psm/content/hcml/download?…”

Section: Active and Assisted Living Applications For Smart Homesmentioning

confidence: 99%

A review on applications of activity recognition systems with regard to performance and evaluation

Ranasinghe

Machot

Mayr

2016

International Journal of Distributed Sensor Networks

172

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Activity recognition systems are a large field of research and development, currently with a focus on advanced machine learning algorithms, innovations in the field of hardware architecture, and on decreasing the costs of monitoring while increasing safety. This article concentrates on the applications of activity recognition systems and surveys their state of the art. We categorize such applications into active and assisted living systems for smart homes, healthcare monitoring applications, monitoring and surveillance systems for indoor and outdoor activities, and tele-immersion applications. Within these categories, the applications are classified according to the methodology used for recognizing human behavior, namely, based on visual, non-visual, and multimodal sensor technology. We provide an overview of these applications and discuss the advantages and limitations of each approach. Additionally, we illustrate public data sets that are designed for the evaluation of such recognition systems. The article concludes with a comparison of the existing methodologies which, when applied to real-world scenarios, allow to formulate research questions for future approaches.

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Creating a Domain Specific Modelling Method for Ambient Assistance

Cited by 19 publications

References 24 publications

A technique for evaluating and improving the semantic transparency of modeling language notations

A technique for evaluating and improving the semantic transparency of modeling language notations

Innovations in Model-based Software And Systems Engineering.

A review on applications of activity recognition systems with regard to performance and evaluation

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