On Cyber-Physical systems

A new book with our chapter: Tools and Technologies for the Development of Cyber-Physical Systems

On Data Analysis of Software Repositories

This article discusses the analysis of software repositories using data analysis methods. A review is made of methods for analyzing programs based on information retrieved from the program code stored in code repositories. A review is made of methods for analyzing programs based on information retrieved from the program code stored in repositories. The article reviews the works that apply methods of classification, clustering and depth learning in software development. For example, for classifying and predicting errors, changing the properties of code in the process of its evolution, detecting design flaws and debts, assist for code refactoring. The main ultimate goal for all models is, of course, an automation of programming. In practice, we are talking about more simple tasks. This includes, for example, information retrieval (program code), error prediction, clone detection, link analysis, evolution analysis, etc. Firstly, we discuss recurrent neural networks and their deployment for the analysis of software repositories. In the simplest case, recurrent networks model a programming language as a sequence of characters. Also, the paper covers clustering and topic modeling. - from our new paper

On a New Approach to Neighbor Discovery as Data Sharing Tool

In this paper, we propose and discuss a new approach to data sharing among mobile subscribers. Our idea is to use the neighbor discovery phase in wireless networks. It simulates a peer-to-peer network that will work without any telecommunication infrastructure. A single mobile phone (smartphone) will be sufficient both for creating a node of such telecommunication network and for publishing (distributing) information. What is important here, the usage of the standard neighbor discovery mechanism does not assume the preloading some mobile applications. Our idea is to share user-defined information during the basic neighbor discovery phase. In this case, the parties involved in the process should be able to read the shared data directly from the process of discovering for neighboring nodes. Our proposal is the further development of ideas related to context-aware systems based on network proximity principles. - from our new paper