Abstract
In this age of innovation, the application of model-based system engineering is key for solving complex problems. Complexity issues are particularly prevalent when there are several systems that must communicate independently. From a system engineering point of view, this is recognized as a system of systems level. At this level, the major concern is the architecture assessment that is usually performed by trade study analysis. However, a trade study is a time-consuming and expensive activity. In consideration of these obstacles, we propose a new trade study process (Bankauskaite and Morkevicius, 2020) for the system of systems architecture developed in Unified Architecture Framework models. This process is designed to support automated methods that allow for greater transparency, better uncertainty analysis, and increased flexibility in adapting to scope changes. One of the crucial stages of the trade study process is the initial assessment of alternative architectures, called the Base Check. The purpose of this stage is to narrow the set of solutions to select only plausible alternatives that are of sufficient quality and can be further evaluated. This paper presents the key rules applicable to initial architecture assessment, together with automated methods. Provided rules are verified by running an experiment on real-world models to confirm their eligibility.
Highlights
Architecture evaluation is one of the key stages in the architecture development lifecycle
There are several architecture framework (AF) and languages that are extensively used when it comes to the system of systems (SoS), such as the NATO Architecture Framework (NAF) or the Department of Defense Architecture Framework (DoDAF) [5]
An analysis of architecture evaluation methods revealed that a scenario-based technique is the most suitable for evaluating architecture
Summary
Architecture evaluation is one of the key stages in the architecture development lifecycle. In order to automate this complex process, it is necessary to develop a digital, unambiguous, and precise model-based environment consisting of an architecture framework (AF), modeling language, and tool. This allows for faster assessment of more possible architectures and may lead to the identification of the most promising solution architectures that may not be identified using traditional methods [3]. The purpose of our research is to propose a new set of UAF-based validation rules that allows determining the quality of architecture at an early stage of the trade study process and narrow the set of alternatives that will be evaluated in the stage of analysis. The structure of this paper is as follows: in Section 2, the related works are analyzed; in Section 3, the proposed set of validation rules is presented; in Section 4, experimental evaluation and application of the proposed validation rules are described; in Section 5, the achieved results, conclusions, and future work directions are indicated
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