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Product line engineering is a promising discipline for developing a family of systems based on a reusable asset base by systematically managing variability. Requirements tools that deal with variability are a key in the development of product lines. Because of the weak tool support to reuse system requirements and heterogeneity in the representations and processes, we identify a need for guidance...
In order to control the interaction of industrial robots with soft materials many computationally-intensive sub-tasks have to be performed in parallel, such as material simulations, control policy optimization or path planning among many others. Since the robot control cannot process the amount of information needed for those tasks, the whole system needs to be split up in two parts: the physical...
While several benefits of using models in software engineering have been observed in practice, the adoption of modeling remains low. Multiple challenges of using models, especially related to tools, have been reported both for industrial use and for education. However, there is a lack of systematic, empirical investigations of the challenges in modeling education and their relation to industrial challenges...
Usage-based statistical testing employs knowledge about the actual or anticipated usage profile of the system under test for estimating system reliability. For many systems, usage-based statistical testing involves generating synthetic test data. Such data must possess the same statistical characteristics as the actual data that the system will process during operation. Synthetic test data must further...
The development of increasingly complex systems with improved quality levels becomes more and more challenging. Engineering data frameworks with integrated system models have been developed to manage such systems. This paper presents the experiences that have been made in digital systems engineering in the aerospace domain and focuses on the roadmap that has been taken to establish a knowledge engineering...
We focus on dynamic model usability and utility, performed throughout system engineering. The dynamic model is designed in relation to the system use scenarios. We generate then automatically the static models (data model, component model) from the dynamic one. A dynamic functional modeling based method is proposed to generate automatically the static and the dynamic organic architecture of a system...
Conceptual elevation of data in business process modeling was first formulated in 2003. The research community responded to this new idea enthusiastically. In the past decade, there have been numerous research activities concerning the interactions between business processes/activities and data in many aspects of business process management. Many of the advancements have or will have impacted on design/modeling,...
NoSQL databases have been emerged in order to handle very huge amount of data granting fault tolerance availability and scalability. In these contexts Relational databases are usually unsuitable to store data for this reason the adaptation and migration from a relational database to a NoSQL database could be favorable. In this paper we proposes a migration system of data from Relational to a NoSQL...
At the dawn of the 4th industrial revolution, the use of software agents, service-oriented architectures and related technologies as primary constructs of Cyber-Physical Industrial systems is of high relevance. Current developments in this area have been consistently supported by an active community of researchers and practitioners in the past decades. Most of the main actors in the area are members...
Medical search technologies are crucial to enable the user to rapidly and effectively discover useful information from massive medical and clinical data. Because of the complexity of medical terminology, traditional information search methods have not fully expressed the intention of the query request and explored the potential semantic knowledge in the document. In this paper, we propose a multi-analysis...
Model slicers are tools which provide two services: (a) finding parts of interest in a model and (b) displaying these parts somehow or extract these parts as a new, autonomous model, which is referred to as slice or sub-model. This paper focuses on the creation of editable slices, which can be processed by model editors, analysis tools, model management tools etc. Slices are useful if, e.g., only...
Recent emergence of IoT Cloud systems has fostered proliferation of various applications mainly driven by urgent need to respond to volume, velocity and variety of data generated by IoT Cloud, but also to enable timely propagation of actuation decisions, crucial for business operation, to the Edge of the infrastructure. In such systems, utilizing currently untapped Edge resources such as sensory gateways,...
Although there are several tools available to simulate a Wireless sensor networks (WSN), few of them allow on-line simulation as WebShawn does. The tool can be considered as a complement of the existing experimental platforms allowing focus on implementation, collection, and analysis of data, in a relatively simple manner. The adopted software architecture is based on the remote simulation and visualization...
Apply Integrated Logistics Support (ILS) to weapon equipment can efficiently improve equipment's automation and digital level. ILS needs support of various integrated support systems, which have demands for data editing. Nowadays, most of data editing software used in these systems are customized and provide a form-based editing approach, which becomes an obstacle to carry out ILS. This paper brings...
System specifications can be modeled using various types of notations and diagrams regarding applications of the particular model. In this paper, we present an overview of the existing solutions, focusing on UML, BPMN and DMN models and the diagrams provided by these notations. We perform a comparison of these approaches and provide examples of representing system requirements in these notations.
The research discusses the issue how to describe data quality and what should be taken into account when developing an universal data quality management solution. The proposed approach is to create quality specifications for each kind of data objects and to make them executable. The specification can be executed step-by-step according to business process descriptions, ensuring the gradual accumulation...
The decision making process is mainly data driven, which makes Data Warehousing play a crucial role in providing a reliable and efficient tool to meet analytical needs and provide end users and decision makers with useful insights. However, several surveys show that a significant percentage of Data Warehouse (DW) projects fail to meet their business goals. Indeed, it is mainly due to the lack of any...
Design models are widely spread as core artifacts in software engineering. Yet, a key problem is how to fulfill correctly these blueprint specifications when code components are developed. The best possible scenario occurs when a source modeling language can be perfectly linked to a target language of election. Namely, a well defined mapping bridges the gap between the source and the target language...
The conviction that big data analytics is a key for the success of modern businesses is growing deeper, and the mobilisation of companies into adopting it becomes increasingly important. Big data integration projects enable companies to capture their relevant data, to efficiently store it, turn it into domain knowledge, and finally monetize it. In this context, historical data, also called temporal...
Process Mining is a technique to automatically discover and analyze business processes from event logs. Discovering concurrent activities often uses process mining since there are many of them contained in business processes. Since researchers and practitioners are giving attention to the process discovery (one of process mining techniques), then the best result of the discovered process models is...
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