Integrated Programming Environment Research Articles

Editorial

Dear Readers, I would like to wish you all the best for the new year! It is with great pleasure that I welcome you to our first regular issue in 2023, which contains 4 highly relevant and novel articles on various topics in computer science. Looking back at the past year, we successfully increased our visibility and improved the J.UCS platform by featuring the most frequently accessed articles each month on Pensoft Publishers Ltd.’s ARPHA Publishing Platform. Thanks to the combined efforts of the Pensoft team and the J.UCS publishing team, we are listed and indexed in more than 40 indexing services worldwide, including DOAJ, Web of Science, and Scopus. The increased visibility and social media presence has also led to a further increase in page views and article downloads, with around 45000 unique views, as well as an increasing number of submitted articles and special issue proposals. We are also very pleased to report that the journal's Impact Factor has continued to improve with a Web of Science Impact Factor of 1.056 and a Scopus Science Score of 2.7. We are proud to look back on a total of 12 issues with 56 articles by 172 authors from 33 countries on new aspects of various topics in computer science; more precisely, the articles were published in two special issues and ten regular issues. These great achievements were only possible because of the commitment and interest of the community, the valuable support of the Editorial Board, and the support of the members of the J.UCS Consortium. In 2022, we welcomed 12 new Editorial Board members, reaching a total of 189 Editorial Board members. We also gratefully acknowledge the support of 56 guest reviewers during the past year. In particular, I would like to thank Dr. Ulrike Krießmann from the Library of the Graz University of Technology, Prof. Klaus Tochtermann from the ZBW, Prof. Christian Eckhardt from California Polytechnic State University, and Prof. Krzysztof Pietroszek from the American University in Washington DC for their generous support in offering an open content journal without charging the authors for their articles. I would also like to thank the J.UCS team, Johanna Zeisberg for taking care of the publication process, Aleksandar Bobic for his social media support, and Alexander Nussbaumer for his technical support, as well as Pensoft Publishers Ltd. for hosting our journal. I look forward to continuing to work with our editors, editorial team and technical support to maintain the success of J.UCS. I would be very grateful for suggestions and feedback on how we can make J.UCS even better and evolve in the future. We also greatly appreciate the generous support of the J.UCS community, especially in promoting the journal and citing relevant articles in their research papers. In this regular issue, I am very pleased to present 4 accepted articles from 16 authors from 6 different countries. Purvaja Balaji, Helena Merker and Amar Gupta from MIT in the USA introduce in their article an automated, three-step pipeline to solve the challenge of text classification, specifically to automate the labeling of each sentence in an input document consisting of section titles and section text. In a research collaboration between Colombia and Belguim, Oscar I. Caldas, Mauricio Mauledoux, Oscar F. Aviles and Carlos Rodriguez-Guerrero conducted a study to measure objective indicators of engagement while study subjects played an immersive virtual game with DDA to find evidence of dynamic response similar to game performance. Robert Ehrensperger, Clemens Sauerwein und Ruth Breu from University of Innsbruck in Austria present in their article a maturity model for comparing and assessing Digital Business Ecosystems (DBE), which was developed based on the Design Science methodology, the review of 22 scientific publications and the interviews of 28 senior experts. In their joint research between Chile, Japan and Colombia, Matias Salinas, Paul Leger, Hiroaki Fukuda, Nicolas Cardozo, Vannessa Duarte and Ismael Figueroa outline their integrated programming environment Incre-IDLE, specifically designed for first-year students, and an evaluation revealed that it is easier to use for the target group compared to professional IDEs. Enjoy Reading

Evaluations of Integrated Programming Environment for First-Year Students in Computer Engineering

Many factors influence the problems that currently exist in the learning-teaching process of programming. The use of an Integrated Development Environment (IDE) makes the experience a complicated process because these IDEs focus on professional programmers and not on novice learners. This also affects the classrooms of the university “Pontificia Universidad Católica de Valparaíso (PUCV)” (Chile). The use of professional IDEs negatively affects the learning process of first-year students who face the development of the algorithms for the first time. One of the IDE widely used for teaching programming courses is Code::Blocks, which is a tool for professional developers. Through a heuristic and usability evaluation, we found that Code::Blocks has a complex user interface and a functional overload. Using these two findings, as well as recommendations given during these tests, we highlight the important aspects that an IDE for novice learners should have. Taking into account previous observations and state-of-the-art/practice of IDEs, a functional IDE prototype, named Incre-IDLE, is developed. In addition to Code::Blocks evaluations, this paper reports the results of a heuristic and usability evaluation applied to first-year students at PUCV about functionalities provided by Incre-IDLE. These results suggest that Incre-IDLE has a simple interface, is easy to install and use, and does not have functional overload (i.e., spend a considerable amount of time learning the tool). Concretely, the results show that 66.7% of the students could complete tasks easily and 100% of them found the GUI intuitive. In terms of GUI, 83.3% considered the application interface “very simple”; and the text, concepts, and icons “very understandable” by 66.7%. The students also found the tool “motivating” (66.7%) or “very motivating” (33.3%). These results closely match the findings obtained by the heuristic evaluation of Incre-IDLE from the experts: 83.3% of them rated it as “useful” or “very useful”, and only a 16.7% rated it as “useless”.

Прогнозирование динамики пробега локомотивов с учетом влияния неисправностей и модернизаций узлов

Purpose: To improve planning system for depot and factory repairs and for locomotive up-grades in the conditions of new rolling stock delivery on the basis of life-cycle contract by the way of the development and application of mathematical model for prognosing average daily and linear runs given the impact on run of technical-technological, seasonal and random fac-tors as well as defects, limiting junctions, and their upgrading. Methods: To achieve the set goal realization, the impact assessment for non-productive downtime of new locomotives at repairs as a result of clearing of junction defects and an equipment and of downtime in wait-ing for planned repairs on dynamics of average daily and linear runs was carried out. Based on the method of multidimensional spectral singular analysis and the prognosis of time series Multi-Channel Singular Spectrum Analysis, the mathematical model on run prognosis which algorithm for, has been embodied in integrated programming environment Visual Studio (2019) on C++ programming codes. Results: Run determination method given junction and equipment possible defects and given being planned upgrading has been proposed. Practical importance: In the conditions of life-cycle contract application which frames in, the participa-tion of locomotives and their components manufacturers in the technical support of supplied products throughout their entire service-life is implied, the usage of the proposed model at re-pair program monthly, quarterly and annual planning, would reduce the downtime in waiting for putting into a repair position on account of more accurate forecast, rationally distributed repairs, materials, stock of linear equipment between service manufactures.

Median algorithm for estimating the variance of intrinsic noise when detecting a signal with an unknown initial phase

The article presents the finding of the dispersion of intrinsic noise distributed according to Rayleigh's law to find a signal with an unknown initial phase according to the Neumann- Pearson criterion. This algorithm is used for primary signal processing. The practical significance of the work is the study of the basics of programming in C and Python, comparison and identification of the advantages of this algorithm in comparison with the evaluation by the average value method. It also shows the finding of the threshold at which a decision is made to detect a useful signal. In this work, the integrated programming environment Visual studio was used – a popular environment for writing, debugging and compiling code. It also contains most of the libraries used, which simplify the writing of code. And Anaconda is a distribution for the Python programming language, which includes a set of free libraries, which is also freely available. Using the C language, the task of calculating data and filling it into an array was performed, Python was used for modeling, constructing histograms and comparing the results obtained with theoretical ones. This work can be used for teaching students of higher educational institutions for the purpose of familiarization. The optimal method is considered. Familiarization and study of these programming languages are conducted within the walls of one of the leading engineering universities of the Russian Federation, the Bauman Moscow State Technical University.

Programming the Relley distribution

The article describes programming algorithms for finding and processing a signal. The practical significance of the work is the study of the basics of programming in C and Python. Getting to know the Visual studio integrated programming environment is a popular environment for writing, debugging and compiling code, available for download in the public domain. It also includes most of the libraries used, which simplify writing code. And Anaconda is a distribution for the Python programming language, which includes a set of free libraries, which is also freely available. The interaction of C and Python languages is demonstrated by the example of constructing random variables distributed according to Relley's law using probability theory. Using the C language, the task of calculating data and filling it into an array was performed, Python was used for modeling, constructing histograms and comparing the results obtained with theoretical ones. This work can be used to train students of higher educational institutions for the purpose of familiarization, as well as further used to determine a false alarm used in finding an adaptive threshold for primary signal processing in radar. The syntax of each language and their strengths are considered. Familiarization and study of these programming languages are conducted within the walls of one of the leading engineering universities of the Russian Federation, the Bauman Moscow State Technical University.

Systems of vibration parameters automated control for diagnostics of equipment technical state

The article deals with the issues of the spatial direction of measurement, which is optimal in terms of recognition of the state of a particular unit node and preparation of control points for diagnosis. To form a diagnostic feature, the representation of the signal in a rather narrow range has been used, for instance, in the area of one of the harmonics of the fundamental mechanism excitation frequency. To process such signals, an integrated programming environment developed in the style of Microsoft Visual products has been created. To ensure the requirements of optimal vibration analysis, the structure of stationary equipment control systems has been proposed. Analysis of random vibration of the diagnosed object is done using real-time two-channel analyzers. Each analyzer channel has a processor for fast Fourier transform and operational information. The two available channels can allow assessment of the state of the object by special correlation functions. In contrast to the known methods, the established methods of determining the frequency range of defects of various light industry machine nodes differ in taking account size of parts and equipment nodes, and the possibility to use narrow-band filtering. The analysis of possibilities to install vibration sensors has been carried out.

Simulation mathematical model of the mixing process of bulk components in the mixer

The developed simulation model allows computer experiments on mixing components in which the parameters of the components of the mixture or mixer are changed, the nature of the influence of the parameter is established and recommendations for choosing the optimal values of the parameter are given. The model of the mixing process takes into account the size, shape and rheological properties of the components of the mixture, as well as the interaction of the bulk material with the working surfaces of the mixer (blades, blade struts, shafts, housing). The simulation mathematical model of the mixer has a high spatial resolution for the correct reproduction of the interaction of particles in the mixing process. In the framework of the finite element approximation, the bulk material is represented as a set of elements. The particle dynamics method was used to model the mechanical behavior of the mixture. Modeling is performed in three-dimensional Cartesian space. The state of each element is defined by six variables: the coordinates of its center and the velocity components. The solution of this system of differential equations of the second order are the functions that determine the trajectories of motion of the elements and allow to evaluate the efficiency of the mixing process. To solve differential equations of this kind, the second – order numerical method-Runge-Kutta is used. A computer program in the Object Pascal language in the Borland Delphi 7 integrated programming environment has been developed to implement the calculation according to the above formulas and to make it easier to conduct a series of computer experiments. The developed mathematical model of the process of mixing of bulk components allows to choose rational technological modes of mixing, which makes it possible to increase the homogeneity of mixing up to 98 %, and to calculate the kinematic mode of the mixing process in the mixer by creating a "quasi-weight" hydrodynamic mixing mode and a significant acceleration of the mixing process.

COMPUTER-INTEGRATED COMPONENTS OF THE AUTOMATED DECISION-MAKING SUPPORT SYSTEM FOR OPERATIONAL AND MAINTENANCE PERSONNEL OF NUCLEAR POWER PLANT UNITS WITH WWER

The purpose of this article is to describe the results of the research aimed at developing computer-integrated components of one of the ADMSS variants for operational and maintenance personnel of NPP units according to the criterion of technical and economic efficiency, taking into account the diagnostics of the technical equipment state based on the simulation model describing by means of up-to-date mathematical methods the technological processes in the main and auxiliary equipment of power units using up-to-date mathematical methods at the level of detailing, corresponding to their principle and deployed thermal schemes. The results of studies aimed at the development of computer-integrated components of the automated decision-making support system (ADMSS) for operational and maintenance personnel of NPP units by the criterion of technical and economic efficiency, taking into account the diagnostics of the state of the power unit equipment, are presented. The general structure of the software package interaction for the analysis of the performance and parameter diagnostics of NPP units with WWER has been developed. When creating the software package, the integrated programming environment Microsoft Visual Studios was used. The structure of the program block for the parameter diagnostics of the equipment of nuclear power units is presented. The main types of problems arising during the operation of NPP units with WWER, that can be solved with the help of the developed ADMSS are considered, and a form for presenting the results to the operational and maintenance personnel of power units is proposed. Developed on the basis of the described computer-integrated components, the automated decision-making support system for the operational and maintenance personnel of NPP power units can be used to solve a wide range of problems arising in the practice of short-, medium- and long-term control of the operation modes of power unit systems and equipment, including obtaining operational (energy) characteristics of power unit systems and equipment, optimizing operation modes and parameters, diagnosing and forecasting technical state of power equipment, predicting the amount of electrical and thermal energy generated by a power unit, as well as optimizing NPP repair cycles.

Imitation Modelling of Influence of Relief of Mountain Slope on Destructive Ability of Snow Avalanches

The paper proposes a simulation model of avalanche snow mass movement based on the particle dynamics method. The total volume of snow mass is broken down into separate elements which can be either interconnected by certain forces or move independently of each other subject to prehistory. For the purposes of consistency of primary mechanical properties of snow mass, the interaction of its elements is commonly supposed to be viscoelastic. Viscoelastic interaction of snow mass elements makes it possible to take into account, while modeling, the ability of snow mass to disintegrate. A computer program was written in Object Pascal language in Borland Delphi 7.0 integrated programming environment to run multiple computer experiments with the model with the subsequent studying of the impact of primary physical and mechanical properties of snow mass on intensity of its down-slope movement. The model was verified by comparing of computer calculations of avalanche pressure and experimental data. The model curve agrees well with the experimental curve. The average model-experiment variation is approximately 7%.

Simulation of drying process of secondary products of fish cutting and description of the main processes of heat and moisture transfer in the model

The effectiveness of drying is largely determined by the ability to quickly manage this process and maintain the regime parameters at a given level. At the heart of any control system is a mathematical description of the process. The paper discusses the process of drying secondary products of fish cutting, as an object of possible modeling and mathematical description of complex physical phenomena of heat and mass transfer. To simulate the processes of heat and moisture transfer, a method based on the generally accepted equations of heat and moisture transfer A.V. Lykova is used. For the convenience of modeling and repeated computer experiments, the computer program "Program for modeling the drying of fish products with additional microwave heating" in the language of Object Pascal in the integrated programming environment Borland Delphi 7 was developed. The program is designed to simulate the drying process of fish products by solving the problem of heat - and moisture transfer on a cubic grid, taking into account the combined heating technology (convective and microwave heating). The program can be used to optimize the drying modes and parameters of the microwave source. In the text of the program, the thermophysical parameters can be given to solve the problem of heat and moisture transfer, the geometric parameters and structure of the fish parts, the parameters of the microwave source. In the process of computer experiment on drying products from fish, the program regularly displays on the computer screen the graphs and cartograms of the spatial distribution of humidity and temperature. The main technical characteristics of the program: the number of grid nodes for solving the problem of heat and moisture transfer: 50 x 50 x 40; the approximate time of one computer experiment is about 5 minutes.

Development of real-time big data analysis system for RHIPE-based marketing in the automobile industry

In the automobile industry, the contract information of vehicles contracted through sales activities, as well as the order data of customers who purchased cars, and vehicle maintenance history information all accumulate in relational databases over time. Although accumulated customer and vehicle information is used for marketing purposes, processing and analyzing this massive data is difficult, as its volume con-stantly increases. This problem of managing big data is commonly solved by utilizing the MapReduce distributed structure of Hadoop, which uses big data distributed processing technology, and R, which is a widely used big data analysis technology. Among the methods that interconnect Hadoop and R, the R and Hadoop integrated programming environment (RHIPE) was developed in this study as a real-time big data analysis system for marketing in the automobile industry. RHIPE allows us to maintain an interactive environment and use the powerful analytical features of R, which is an interpreter language, while achieving a high processing speed using Map and Reduce func-tions. In this study, we developed a real-time big data analysis system that can analyze the orders, reservations, and maintenance history contained in big data using the RHIPE method.

Mathematical modeling and computer simulation of the filtration processes in earth dams

We built a mathematical model of the filtration consolidation of the body of an earth dam with engineering inclusions and erosion zone in a two-dimensional setting. It considers the presence of a damaged conduit in the body of a dam. We also took into account the impact of anthropogenic factors: temperature and the concentration of salts, subsidence of the upper boundary and the displacement of internal points in the region of dam over time. The existence of erosion zone (as a result of damage to the conduit) is considered. Taking into account the erosion zone exerts a significant effect on the overall picture of filtration processes occurring in the body of a dam. Erosion zone has the largest impact on the distribution of excess heads and their gradients. We developed a software application to automate the calculation of numerical solution of a boundary problem using the method of radial basis functions that make it possible to conduct numerical experiments by changing the input parameters and the form, as well as represent results of these experiments in the form of charts and numerical data according to each temporal layer. The software application was developed in the integrated programming environment Microsoft Visual Studio 2008 in the language C#. The impact of the existence of a conduit, erosion zone, temperature and the concentration of salts in the body of a dam was explored at different temporal layers. The distribution of all the desired functions and their impact can be displayed graphically. A series of numerical experiments were performed and their analysis conducted. It is shown as a result that the existence of damage in a conduit in the body of a dam leads to the formation of erosion zone. This, in turn, leads to the gradual filtration destruction of soil material of the dam and its possible complete destruction. The results obtained might help to prevent and to evaluate the consequences of possible accidents without conducting field experiments, and, consequently, to save resources and time.

Knowledge Assessment Software in Mining Specialist Training

The article reviews the knowledge assessment software module of electronic teaching and testing in mining specialist training. To develop the software module integrated programming environment state-of-the-art is used. Its advantage consists in small computer resource consumption, simple editing, and protection against the users' trying to find out the correct answers to test tasks. The software makes it possible to learn the ongoing learning information systematically and consistently as well as to assess the current knowledge in mining. The developed module meets the following requirements: a software module user-friendly interface, the storage of passed test results to be used for subsequent viewing, analyses, and evaluation, fast troubleshooting in case of any troubles with a stable module operation, and further software function extension and upgrading.

5Code – An Integrated Programming Environment for Beginners

Abstract Based on experience in teaching programming, we developed the integrated development environment (IDE) 5Code especially to support beginners. As a first step, a simple, understandable formula was developed how to advance from the problem to the program in 5 operative steps: r e a d i t → g e t i t → t h i n k i t → n o t e i t → c o d e i t . $read\;it \to get\;it \to think\;it \to note\;it \to code\;it{\rm{.}}$ In order to reduce the cognitive load of the learners effectively, 5Code was designed such that all 5 steps are permanently presented, accessible and executable. Thus, learners are provided with the entire programming context from presentation of the task via own notes and annotations to the code area. Learners can mark and annotate any part of the given task’s text; these annotations can be edited as notes with own comments. Furthermore, the notes can be dragged into the code area, where they are shown as comments in the coding language. Any modifications in the comments are synchronized between notes and code. 5Code is implemented as a web-application. It is used in university introductory courses on object oriented programming.

An overview of platforms for cloud based development.

This paper provides an overview of the state of the art technologies for software development in cloud environments. The surveyed systems cover the whole spectrum of cloud-based development including integrated programming environments, code repositories, software modeling, composition and documentation tools, and application management and orchestration. In this work we evaluate the existing cloud development ecosystem based on a wide number of characteristics like applicability (e.g. programming and database technologies supported), productivity enhancement (e.g. editor capabilities, debugging tools), support for collaboration (e.g. repository functionality, version control) and post-development application hosting and we compare the surveyed systems. The conducted survey proves that software engineering in the cloud era has made its initial steps showing potential to provide concrete implementation and execution environments for cloud-based applications. However, a number of important challenges need to be addressed for this approach to be viable. These challenges are discussed in the article, while a conclusion is drawn that although several steps have been made, a compact and reliable solution does not yet exist.

CIRANO: An Integrated Programming Environment for Multi-tier Cloud Based Applications

Abstract This paper describes the CIRANO platform, a cloud Integrated Development Environments (IDE) that substantially supports Model Driven Development (MDD) and team collaboration, in order to facilitate the development of cloud–based applications. The paper presents the state of the art in the field and discusses the technical details of CIRANO architecture and its modular implementation. The main features of the proposed platform are presented as a case study application concerning the update and porting of an existing collaboration system, called Comidor. The paper discusses the findings in comparison with existing tools and proposes extensions of the platform as future work.

Formation of cloud-based learning environment for professional training in programming

The article is devoted the question of forming a full functional based on cloud technology to study subjects from programming cycle for specialists in programming. The object of the research – the process applying cloud technologies in learning. The subject of the research – cloud technology in training of specialists in programming. The purpose of the research – forming a full functional learning environment for training of specialists in programming based on cloud technology. The method of research – analyses.To achieve the goal of the research was conducted review of existing integrated programming environments. First of all, such environments should be based on cloud technologies, since among the services provided by cloud technologies is a service SaaS. Also, the environment should support the possibility of developing programs in different programming languages, which allowed organize learning on programming in a single environment. In this environment was chosen cloud environments Cloud9 IDE. Cloud9 IDE is an Internet environment for development applications in programming language Javascript for Node.js, HTML5/CSS, PHP, Java, Ruby on Rails, C/C++, Python, allowing you to work in free and paid modes.Since service SaaS used to provide learning process and research only specialized software, therefore necessary to provide the learning materials (texts of lectures, laboratory and practical work, tutorials, self-study materials, etc.). These materials every student can study to self-pace, on their own trajectory. That student will acquire the ability and skills as needed – out bulky projects and approaches to learning.

Plugging in and into code bubbles: the code bubbles architecture

ABSTRACTCode Bubbles is an attempt to redefine the user interface for an integrated programming environment. As it represents a whole new user interface, implementing it as a plug‐in is inherently difficult. We get around this difficulty by combining two different plug‐in architectures, a standard one based on registrations and callbacks and a message‐based one that puts the plug‐in at arm's length and defines a narrower two‐way interface. This paper describes both how we have implemented Code Bubbles as a plug‐in to Eclipse and how Code Bubbles itself is implemented as a set of plug‐ins representing the different aspects of the environment, using both traditional and message‐based plug‐in architectures as appropriate. It also shows how the resultant architecture is flexible enough to support collaboration, different back ends, and a cloud‐based environment. Copyright © 2013 John Wiley & Sons, Ltd.

GP algorithm versus hybrid and mixed neural networks

In the current paper, we present an integrated genetic programming (GP) environment called java GP modelling. The java GP modelling environment is an implementation of the steady-state GP algorithm. This algorithm evolves tree-based structures that represent models of inputs and outputs. The motivation of this paper is to compare the GP algorithm with neural network (NN) architectures when applied to the task of forecasting and trading the ASE 20 Greek Index (using autoregressive terms as inputs). This is done by benchmarking the forecasting performance of the GP algorithm and six different autoregressive moving average model (ARMA) NN combination designs representing a Hybrid, Mixed Higher Order Neural Network (HONN), a Hybrid, Mixed Recurrent Neural Network (RNN), a Hybrid, Mixed classic Multilayer Perceptron with some traditional techniques, either statistical such as a an ARMA or technical such as a moving average convergence/divergence model, and a naïve trading strategy. More specifically, the trading performance of all models is investigated in a forecast and trading simulation on ASE 20 time-series closing prices over the period 2001–2008, using the last one and a half years for out-of-sample testing. We use the ASE 20 daily series as many financial institutions are ready to trade at this level, and it is therefore possible to leave orders with a bank for business to be transacted on that basis. As it turns out, the GP model does remarkably well and outperforms all other models in a simple trading simulation exercise. This is also the case when more sophisticated trading strategies using confirmation filters and leverage are applied, as the GP model still produces better results and outperforms all other NN and traditional statistical models in terms of annualized return.

Methods of assessing the time efficiency in the virtual measurement systems

The paper presents the analysis of the time measurement methods in the virtual instrumentation. Problem of the software operations time efficiency assessment is presented. Different methods and functions of the time measurement in the integrated programming environments are discussed. Experiments using the exemplary virtual instrument are conducted to reveal the advantages and disadvantages of particular time measurement methods. Both general purpose and Real-Time operating systems are considered. Experiments cover personal computers, and specialized systems, such as CompactRIO. Conclusions include the analysis of the possible approaches to the time-efficient instrument design and future applications of the presented methods.