SPES XT Context Modeling Framework

Daun, Marian; Tenbergen, Bastian; Brings, Jennifer; Weyer, Thorsten

doi:10.1007/978-3-319-48003-9_4

Cited by 10 publications

(15 citation statements)

References 9 publications

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“…Figure 2 shows the core ontological basis to delineate the system under consideration from objects influencing it. This ontology is based our prior work on context formalization for embedded systems 73,74 …”

Section: Ontological Foundationsmentioning

confidence: 99%

“…On the one hand, the context of knowledge comprises all sources that possess information that constrain the system or its development 75 . On the other hand, the operational context focuses on the interaction between the context subject and context objects 73,74 …”

Section: Ontological Foundationsmentioning

confidence: 99%

“…In the structural perspective , the focus is on physical entities that interact with the context subject, their dependencies with the context subject, as well as their dependencies among one another. Context objects in this perspective are called “context entities” and include but are not limited to any type of static‐structural information, 11,74 such as different types of hardware (e.g., ECUs, actuators, sensors, or bus transceivers), agents (e. g., subsystems, external systems, or human users), as well as dependencies between them. In the example from Section 3, the brake controller and the own vehicle are examples of context entities from the perspective of the ACC as the context subject.…”

Section: Ontological Foundationsmentioning

confidence: 99%

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Context modeling for cyber‐physical systems

Daun

Tenbergen

2022

J Software Evolu Process

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When developing cyber-physical systems (CPS), the context is of vital importance.CPS interact with the world not only through sensing the environment and acting upon it (like embedded systems) but also by communicating with other CPS (like systems in the Internet of Things [IoT]). This means that the context interactions CPS must deal with are much greater than regular embedded or IoT systems: On the one hand, external systems and human users constrain the specific interaction among them. On the other hand, properties of these external systems, human users, and laws, regulations, or standards constrain the way the CPS must be developed. In this paper, we propose a comprehensive, ontologically grounded context modeling framework to systematically explore the problem space in which a CPS under development will operate. This allows for the systematic elicitation of requirements for the CPS, early validation and verification of its properties, and safety assessment of its context interactions at runtime.

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Section: Ontological Foundationsmentioning

confidence: 99%

Section: Ontological Foundationsmentioning

confidence: 99%

Section: Ontological Foundationsmentioning

confidence: 99%

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Context modeling for cyber‐physical systems

Daun

Tenbergen

2022

J Software Evolu Process

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“…actors, external systems, and their relevant properties), the context also contains, for instance, standards and legal provisions which need to be considered [19]. In this teaching block, we differentiate between models of the operational environment and models of the context of knowledge [20]. When analyzing and modeling the operational environment, we apply three modeling perspectives (information structure, functional, and behavioral) [21].…”

Section: B Syllabusmentioning

confidence: 99%

Teaching Model-Based Requirements Engineering to Industry Professionals: An Experience Report

Daun

Brings

Goger

et al. 2021

2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET)

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The use of conceptual models to foster requirements engineering has been proposed and evaluated as beneficial for several decades. For instance, goal-oriented requirements engineering or the specification of scenarios are commonly done using conceptual models. Bringing such model-based requirements engineering approaches into industrial practice typically requires industrial training. In this paper, we report lessons learned from a training program for teaching industry professionals modelbased requirements engineering. Particularly, we as educators and learners report experiences from designing the training program, conducting the actual training, and applying the instructed material in our day-to-day work. From these findings we provide guidelines for educators designing requirements engineering courses for industry professionals. Index Terms-conceptual modeling, requirements engineering, industrial training'This research is part of the SPEDiT project https://spedit.informatik. tu-muenchen.de. Which aims at transferring research results from its predecessor projects SPES and SPES XT http://spes2020.informatik.tu-muenchen.de into industrial practice.

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“…Software-intensive embedded systems differ from classic systems in that they interact with their operational context through sensors and actuators [Daun et al 2016]. The same holds for collaborative embedded systems (CESs) and collaborative (embedded) system groups (CSGs), as their behavior and functions are strongly influenced by changes in the systems' contexts.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Analyzing Context-Sensitive Changes during Runtime

Wehrstedt

Brings

Caesar

et al. 2020

Model-Based Engineering of Collaborative Embedded Systems

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For collaborative embedded systems, it is essential to consider not only the behavior of each system and the interaction between systems, but also the interaction of systems with their often dynamic and unknown context.In this chapter, we present a solution approach based on process building blocks— describing both the modelling approach as well as the model execution approach—for engineering and operation to achieve the goal of developing systems that deal with dynamics in their open context at runtime by re-using the models from the engineering phase.

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SPES XT Context Modeling Framework

Cited by 10 publications

References 9 publications

Context modeling for cyber‐physical systems

Context modeling for cyber‐physical systems

Teaching Model-Based Requirements Engineering to Industry Professionals: An Experience Report

Modeling and Analyzing Context-Sensitive Changes during Runtime

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