AN APPROACH TO ANALYSIS OF ARCHIMATE APPLICATION ARCHITECTURE MODELS USING THE SOFTWARE COUPLING METRIC

Applications architecture is the baseline of any organizational activity, which main goal is to provide the executional environment for businessprocesses in order to deliver products or services to satisfy customer needs and generate revenue. Nowadays, large software engineering projectsalways begin with the architecture design phase, despite the waterfall or agile methodology is used by a software development team. Applicationsarchitecture design is the most important and, at the same time, error-prone stage of the whole software engineering project. It is well-known thatdesign shortcomings made on the design phase may increase drastically to testing and maintenance phases. Further costs to defects fixing may behundred times higher in the later project stages in compare to the design stage on which applications architecture is defined. Common system designsolutions, which were proven on practice and used in many projects, are known as architectural patterns. Software architecture patterns are consideredas building block for system implementation. The most popular and efficient way to share architectural patterns are graphical models that used as anyother blueprints of engineering solutions. Applications architecture models are built to represent system design, whereas, such models are alreadybased on certain patterns as the industry best practices. Hence, in this paper we consider a relevant problem of applications architecture modelsanalysis, which relevance is defined by those fact that designed blueprints of information systems and other software solutions should be carefullychecked for all presumable inefficiencies in order to avoid extra efforts and related costs for defects fixing in the later project stages. It is proposed touse ArchiMate enterprise architecture modeling language, since it can be used not only to represent applications architecture, but is connection tobusiness and technology layers. In order to evaluate applications architecture models, respective ArchiMate metamodel is considered and representedas labeled directed graph, and coupling software metric is selected for analysis. Sample calculations are demonstrated, obtained results are discussed,conclusion and future work directions are formulated.

Comparing Static and Dynamic Weighted Software Coupling Metrics

Coupling metrics that count the number of inter-module connections in a software system are an established way to measure internal software quality with respect to modularity. In addition to static metrics, which are obtained from the source or compiled code of a program, dynamic metrics use runtime data gathered, e.g., by monitoring a system in production. Dynamic metrics have been used to improve the accuracy of static metrics for object-oriented software. We study weighted dynamic coupling that takes into account how often a connection (e.g., a method call) is executed during a system’s run. We investigate the correlation between dynamic weighted metrics and their static counterparts. To compare the different metrics, we use data collected from four different experiments, each monitoring production use of a commercial software system over a period of four weeks. We observe an unexpected level of correlation between the static and the weighted dynamic case as well as revealing differences between class- and package-level analyses.

Contactless Ultrasonic Cavitation in Alloy Melts

A high frequency tuned electromagnetic induction coil is used to induce ultrasonic pressure waves leading to cavitation in alloy melts. This presents an alternative ‘contactless’ approach to conventional immersed probe techniques. The method can potentially offer the same benefits of traditional ultrasonic treatment (UST) such as degassing, microstructure refinement and dispersion of particles, but avoids melt contamination due to probe erosion prevalent in immersed sonotrodes, and it can be used on higher temperature and reactive alloys. An added benefit is that the induction stirring produced by the coil, enables a larger melt treatment volume. Model simulations of the process are conducted using purpose-built software, coupling flow, heat transfer, sound and electromagnetic fields. Modelling results are compared against experiments carried out in a prototype installation. Results indicate strong melt stirring and evidence of cavitation accompanying acoustic resonance. Up to 63% of grain refinement was obtained in commercial purity (CP-Al) aluminium and a further 46% in CP-Al with added Al–5Ti–1B grain refiner.

Analysis the Influence Law of Process Parameters on the Deposition Rate of SiC Thin Film

Based on chemical vapor deposition (CVD) reaction and numerical analysis of the transmission process, analysis the influence law of the process parameters has been conducted for silicon carbide thin film. A detailed analysis on impact of the chamber pressure, substrate temperature and inlet flow has been realized through the use of CFD and chemical reactions software, coupling fluid flow, chemical reactions and mass transfer process in the deposition of SiC thin film. The result of simulation fully proved that the process parameters have different influence law, especially the chamber pressure.