Teilāns, Artis

2011, Teilāns, Artis, Andrejs Romanovs, Yuri Merkuryev, Arnis Kleins, Pjotrs Dorogovs, Ojars Krasts

Information technology systems represent the backbone of a company's operational infrastructure. A company's top management typically ensures that computer software and hardware mechanisms are adequate, functional and in adherence with regulatory guidelines and industry practices. Nowadays, due to depressed economic and increased intensity of performed operations, business highly recognizes the influence of effective Information Technology risk management on profitability. The purpose of this paper is to develop IT risks assessment systems support functional model, based on analysis of IT risks and assessment mechanisms, IT governance and risk management frameworks, functional analysis of IT risks assessment and management software, and, finally, to develop IT risk management domain specification language with a metamodel that defines an abstract UML based language for supporting model-based risk assessment. Usage of UML based domain specific language achieves synergy from in IT industry widely used UML modelling technique and the domain specific risk management extensions.

2008, Teilāns, Artis, Arnis Kleins, Uldis Sukovskis, Yury Merkuryev, Ivars Meirans

This paper is devoted to a meta-model based approach to UML systems modelling. The approach allows creating a system model by operating with artefacts from the problem domain, followed by generation of a UML model. The discussed approach is illustrated by generating UML models, using Use Case and Activity diagrams of the UML language.

2018, Teilāns, Artis, Romanovs, Andrejs, Merkuryev, Yuri, Dorogovs, Pjotrs, Kleins, Arnis, Potryasaev, Semyon

Nowadays, the systems developed to integrate real physical processes and virtual computational processes — the cyber-physical systems (CPS), are used in multiple areas of industry and critical national infrastructure, such as manufacturing, medicine, traffic management and security, automotive engineering, industrial process control, energy saving, ecological management, industrial robots, technical infrastructure management, distributed robotic systems, protection target systems, nanotechnology and biological systems technology. With wide use, the level of IT and cyberrisks increases drastically and successful attacks against the CPS will lead to unmanageable and unimaginable consequence. Thus, the need in well-designed risk assessment system of CPS is clear and such system can provide an overall view of CPS security status and support efficient allocations of safeguard resources. The nature of CPS differs from IT mainly with the requirement for real-time operations, thus, traditional risk assessment method for IT system can be adopted in CPS. Design of a unified modelling language based domain specific language described in this paper achieves synergy from in IT industry widely used UML modelling technique and the domain specific risk management extensions. As a novelty for UML modelling, especially for simulation purposes, the presented DSL is enriched by a set of stochastic attributes of modelled activities. Such stochastic attributes are usable for further implementation of discrete-event system simulators.

2011, Arnis Kleins, Teilāns, Artis, Yuri Merkuryev, Ojars Krasts

This paper focuses on a metamodel based approach to Unified Modelling Language (UML systems modelling and simulation. The approach allows creating a system model by operating with artefacts from the problem domain. As a novelty for UML modelling, especially for simulation purposes, the presented meta-model is enriched by a set of stochastic attributes of modelled activities. Modelling process is ensured by developing UML based Domain Specific Language (DSL) that is suitable for the metamodel, where UML diagrams are complemented with attributes necessary for model simulation. A modelling tool prototype was developed with Microsoft Visual Studio using Microsoft Visualization and Modelling SDK. Elaborated models are stored in a modelbase which conforms to the described metamodel. Relevant DEVS simulation software will be developed for ability to run those models and analyse gathered results. The given approach facilitates increases of the productivity in development of domain specific modelling and simulation tools up to 10 times.