The analysis of nowadays software systems for supporting, e.g., testing, verification or debugging is becoming more challenging due to their increasing complexity. Model slicing is a promising analysis technique to ta...
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The analysis of nowadays software systems for supporting, e.g., testing, verification or debugging is becoming more challenging due to their increasing complexity. Model slicing is a promising analysis technique to tackle this issue by abstracting from those parts not influencing the current point of interest. In the context of software product lines, applying model slicing separately for each variant is in general infeasible. Delta modeling allows exploiting the explicit specification of commonality and variability within deltas and enables the reuse of artifacts and already obtained results to reduce the modeling and analysis efforts. In this paper, we propose a novel approach for incremental model slicing for delta-oriented software product lines. Based on the specification of model changes between variants by means of model regression deltas, an incremental adaptation of variant-specific dependency graphs as well as an incremental slice computation is achieved. The slice computation further allows for the derivation of differences between slices for the same point of interest enhancing, e.g., change impact analysis. We provide details of our incremental approach, discuss benefits and present future work.
Wireless Sensor Networks (WSNs) when combined with various energy harvesting solutions managing to prolong the overall lifetime of the system and enhanced capabilities of the communication protocols used by modern sen...
Wireless Sensor Networks (WSNs) when combined with various energy harvesting solutions managing to prolong the overall lifetime of the system and enhanced capabilities of the communication protocols used by modern sensor nodes are efficiently used in are efficiently used in Smart Grid (SG), an evolutionary system for the modernization of existing power grids. However, wireless communication technology brings various types of security threats. In this study, firstly the use of WSNs for SG applications is presented. Second, the security related issues and challenges as well as the security threats are presented. In addition, proposed security mechanisms for WSN-based SG applications are discussed. Finally, an easy- to-implement and simple attack detection framework to prevent attacks directed to sink and gateway nodes with web interfaces is proposed and its efficiency is proved using a case study.
In recent years, robots have started to become more commonplace in our lives, from factory floors to museums, festivals and shows. They have started to change how we work and play. With an increase in the population o...
In recent years, robots have started to become more commonplace in our lives, from factory floors to museums, festivals and shows. They have started to change how we work and play. With an increase in the population of the elderly, they have also been started to be used for caregiving services, and hence many countries have been investing in the robot development. The advancements in robotics and wireless communications has led to the emergence of autonomous caregiving robot teams which cooperate to accomplish a set of tasks assigned by human operators. Although wireless communications and devices are flexible and convenient, they are vulnerable to many risks compared to traditional wired networks. Since robots with wireless communication capability transmit all data types, including sensory, coordination, and control, through radio frequencies, they are open to intruders and attackers unless protected and their openness may lead to many security issues such as data theft, passive listening, and service interruption. In this paper, a secure web-based communication framework is proposed to address potential security threats due to wireless communication in robot-robot and human-robot interaction. The proposed framework is simple and practical, and can be used by caregiving robot teams in the exchange of sensory data as well as coordination and control data.
This paper introduces a powerful, efficient and generic framework for optimal routing of electric vehicles in the setting of flexible edge cost functions and arbitrary initial states. More precisely, the introduced st...
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This paper considers a generic approach to enhance traditional runtime verification techniques towards first-order theories in order to reason about data. This allows especially for the verification of multi-threaded,...
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Automated machines and plants are operated for some decades and undergo an everlasting evolution during this time. In this paper, we present three related open evolution challenges focusing on software evolution in th...
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Automated machines and plants are operated for some decades and undergo an everlasting evolution during this time. In this paper, we present three related open evolution challenges focusing on software evolution in the domain of automated production systems, i.e. evolution and co-evolution of (interdisciplinary) engineering models and code, quality assurance as well as variant and version management during evolution.
In this paper we present an approach to support selfregulated learn-flows in the collaborative environment Metafora. In this environment students construct Visual Language Plans. Those plans model workflows of learnin...
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In this paper we present an approach to support selfregulated learn-flows in the collaborative environment Metafora. In this environment students construct Visual Language Plans. Those plans model workflows of learning activities, which the students execute to solve complex learning scenarios across different tools. Visual Language plans were already used in the context of different pedagogical studies but have no formal syntax or semantics, yet. In this paper, we present the syntax of Visual Language Plans and develop a mapping from Visual Language Plans to Petri net defining semantics. With the help of this semantics, the environment can support the students executing their learnflows. If students execute activities given in a Visual Language Plan which are not enabled in the corresponding Petri net, feedback messages occur guiding the students. Students can refine their Visual Language Plan during execution. If a plan changes the corresponding Petri net model also changes. Analyzing the newly generated Petri net model can help to uncover faulty states of the learnflow model.
This position paper gives an overview on *** project which focuses on the dynamic and safe interconnection of medical devices in an operating room. A brief overview of the legal situation for the approval of medical d...
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programming autonomic systems with massive number of heterogeneous components poses a number of challenges to language designers and software engineers and requires the integration of computational tools and reasoning...
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This paper studies runtime verification of distributed asynchronous systems and presents a monitor generation procedure for this purpose, which allows three-valued monitoring. The properties used in the monitors are s...
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