An Analytical Model of Tests Generation Process for Mobile Applications
Because of rapid mobile technologies expansion, there is a gap between the complexity of mobile applications and the complexity of employed testing techniques. This paper is aimed at reducing the gap from the practical point of view. Tests generation techniques are widely spread, but none of them are optimized for mobile applications. This paper proposes an analytical model of tests generation process, which is based on prototypes and takes mobile specificity into consideration. Along with this an analysis of existing tests generation approaches has beenmade. The flowchart of the proposed model has been submitted with the model. The efficiency of the model has been described in the numerical results section.
The paper reviews the problem of age and gender recognition methods for video data using modern deep convolutional neural networks. We present the comparative analysis of classifier fusion algorithms to aggregate decisions for individual frames. We implemented the video-based recognition system with several aggregation methods to improve the age and gender identification accuracy. The experimental comparison of the proposed approach with traditional simple voting using IJB-A, Indian Movies, and Kinect datasets is provided. It is demonstrated that the most accurate decisions are obtained using the geometric mean and mathematical expectation of the outputs at softmax layers of the convolutional neural networks for gender recognition and age prediction, respectively.
In the paper the original non-invasive method of diagnosing units and blocks of RECs. Diagnosis is performed by measuring the level of modulated electromagnetic radiation, which is diagnosed by build quality RES.
Content and methodic of the preparation testing in “Programming” subject in LMS e-Front is given. Necessity and preconditions to the preparation testing are described. The results of application of the methodic are provided.
In the world's leading countries the problem of appearing of schools with bad learning outcomes where mostly children from families with a low socio-economic status go is regarded nowadays as one of the key problems in educational policy. In order to solve it, laws are passed and national strategies are adopted. This survey is intended to describe main approaches and problem solution tools that are used as part of national strategies. Its relevancy is determined by the fact that support of schools working in the challenging social context and performing poorly appeared on the agenda of the Russian educational policy. World experience of researches and practical interventions in the area under question may be useful for the national education.
In this article, the effectiveness of content services is formalized on the basis of an analysis of the regulatory legal acts regulating the relationship in the market for consuming content services. The use of cloud computing for the widespread introduction of services to assess the consumer quality of content services is considered. The article describes the security aspects and the possibility of implementing security requirements for mobile applications and discusses the proposed circuit-technical options for implementing the principles of building information-safe mobile applications that are reducible to the typical info-communication technological interaction.
EWDTS-2019 explores the novel trends in testing, diagnosis, repair of microelectronic systems, and also cyber security, automotive, IoT, artificial intelligence.
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability
The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.
Existing approaches suggest that IT strategy should be a reflection of business strategy. However, actually organisations do not often follow business strategy even if it is formally declared. In these conditions, IT strategy can be viewed not as a plan, but as an organisational shared view on the role of information systems. This approach generally reflects only a top-down perspective of IT strategy. So, it can be supplemented by a strategic behaviour pattern (i.e., more or less standard response to a changes that is formed as result of previous experience) to implement bottom-up approach. Two components that can help to establish effective reaction regarding new initiatives in IT are proposed here: model of IT-related decision making, and efficiency measurement metric to estimate maturity of business processes and appropriate IT. Usage of proposed tools is demonstrated in practical cases.