We present a set of methods to enable a cross-domain reuse of problem solutions via analysis patterns. First, problem-context descriptions and problemcontext models as well as solution models are used to express the domainspecific problems and their assigned solutions. After that, the two-step abstraction method is used to create cross-domain analysis patterns for the problemcontext models as w...

Domain analysis has been identified as a key factor in the development of reusable software. However, for domain analysis to become a practical approach we need to understand the conceptual foundations of the process and to produce a unambiguous definition in the form of specific techniques. This paper presents a practical approach for domain analysis based on a well defined set of guidelines a...

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There are numerous excellent textbooks that provide guidance on what and how to teach modelling, founded on sound principles (e.g., mathematics, domain analysis, object-orientation) and engineering practice. There is less guidance available on what and how not to teach modelling i.e., what principles to avoid conveying either directly or indirectly, and what engineering practices should be igno...

The output data from a structure is the building block for output-only modal analysis. The structure response in the output data, however, is usually contaminated with noise. Naturally, the success of output-only methods in determining the modal parameters of a structure depends on noise level. In this paper, the possibility and accuracy of identifying the modal parameters of a simply supported...

The extension of classical analysis to time series data is the basic problem faced in many fields, such as engineering, economic and medicine. The main objective of discriminant time series analysis is to examine how far it is possible to distinguish between various groups. There are two situations to be considered in the linear time series models. Firstly when the main discriminatory informati...