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Abstract: Automotive manufacturers have historically adopted rigid requirements engineering processes. This allowed them to meet safety-critical requirements when producing a highly complex and differentiated product out of the integration of thousands of physical and software components. Nowadays, few software-related domains are as rapidly changing as the automotive industry. In particular, the needs of i...
Abstract: Adversarial learning has been established as a successful paradigm in reinforcement learning. We propose a hybrid adversarial learner where a reinforcement learning agent tries to solve a problem while an evolutionary algorithm tries to find problem instances that are hard to solve for the current expertise of the agent, causing the intelligent agent to co-evolve with a set of test instances or sc...
Abstract: The rapid adoption and the diversification of cloud computing technology exacerbate the importance of a sound experimental methodology for this domain. This work investigates how to measure and report performance in the cloud, and how well the cloud research community is already doing it. We propose a set of eight important methodological principles that combine best-practices from nearby fields w...
Abstract: The rapid adoption and the diversification of cloud computing technology exacerbate the importance of a sound experimental methodology for this domain. This work investigates how to measure and report performance in the cloud, and how well the cloud research community is already doing it. We propose a set of eight important methodological principles that combine best-practices from nearby fields w...
Abstract: Automated graphical user interface (GUI) tests can reduce manual testing activities and increase test frequency. This motivates the conversion of manual test cases into automated GUI tests. However, it is not clear whether such automation is cost-effective given that GUI automation scripts add to the code base and demand maintenance as a system evolves. In this paper, we introduce a method for est...
Abstract: Abstract Context Emerging paradigms like Internet of Things and Smart Cities utilize advanced sensing and communication infrastructures, where heterogeneity is an inherited feature. Applications targeting such environments require adaptability and context-sensitivity to uncertain availability and failures in resources and their ad-hoc networks. Such heterogeneity is often hard to predict, making t...
Abstract: Future industrial networks are envisioned to support a broad set of applications and services with diverse communication requirements that are difficult to meet adopting a single communication technology. Software-Defined Networking and network virtualization techniques represent two promising innovations and abstractions to improve the network management and to support scalable network control fu...
Abstract: Over the past decade technological development has lead to systems being connected to public networks in many critical domains. In such systems bringing safety and security work has become even more important, as a connected safety-critical system is not safe if it is not secure. Given this, the main goal of this study is to investigate the current status of safety and security co-analysis in syst...
Abstract: Latest technological trends lead toward systems connected to public networks even in critical domains. Bringing together safety and security work is becoming imperative, as a connected safety-critical system is not safe if it is not secure. The main objective of this study is to investigate the current status of safety and security co-analysis in system engineering by conducting a systematic liter...
Abstract: A term systems of systems (SoS) refers to a setup in which a number of independent systems collaborate to create a value that each of them is unable to achieve independently. Complexity of a SoS structure is higher compared to its constitute systems that brings challenges in analyzing its critical properties such as security. An SoS can be seen as a set of connected systems or services that needs ...
Abstract: Real-time adaptive systems are complex systems capable to adapt their behavior to changing conditions in the environment, and/or internal state changes. Highly dynamic and possibly unpredictable environments, and uncertain operating conditions call for new paradigms of software design, and run-time adaptation mechanisms, to overcome the lack of knowledge at design time. Main application areas incl...
Abstract: In this paper, we present AdaptiveFlow as a platform for designing system of systems. A model-based development approach is proposed and tools are provided for formal verification and performance evaluation. The actor-based language, Timed Rebeca, is used for modelling, and the model checking tool Afra is used for checking the safety properties and also for performance evaluation. We investigate t...
Abstract: Abstract Semiconducting nanocomposites were formed from layers of reduced graphene oxide (RGO) and ZnO and nanoparticle or mesoporous forms of TiO2 by dip-coating on fluorine-doped tin oxide (FTO) substrates. The effect of nanoparticle or mesoporous TiO2 on the electrical conductivity was compared. The crystalline phases and microstructures of the nanocomposites were investigated by XRD, DRS-UV, F...
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