Object-oriented Software Research Articles

Design and Development of Structural Parameter Identification Software for Nonlinear Vibration Isolators

This paper developed an object-oriented software to facilitate parameter calibration of the quasi-zero stiffness (QZS) vibration isolator for engineering applications. Considering its advantages of convenient programming and high noise resistance, we employ the harmonic balance method to construct the identification core algorithm. The developed software consists of data pre-processing, parameter identification, and post-processing modules. The data pre-processing module imports and classifies all the required data. Then, the parameter identification module conducts preliminary nonlinearity analysis so that nonlinear structural parameter identification can be successfully carried out. After parameter identification, the data post-processing module displays and stores the identified results. The performance of the software is tested by a numerical example of a two-degree-of-freedom QZS vibration isolator, proving the software can give accurate identification results within a few user-friendly graphical interfaces. Based on this software, we hope that the application and promotion of nonlinear system parameter identification become more convenient.

Design of Data Persistence for Network Resources Recommendation System Based on Hibernate Architecture

The Python language is more focused on problem solving, which is in line with the era of computational thinking, and the teaching of Python language course requires students to systematically master the basic concepts, programming ideas and programming techniques of Python, and have the idea of object-oriented software design technology. We have developed a recommended system of online resources for "Python Programming" course to solve the problem of students' access to resources and deepen the teaching reform of the Python Programming course. Data persistence is an important task in system development, and Hibernate is the most popular O/R Mapping framework. The data persistence design based on Hibernate solves the key technical problems in the development of the network resource recommendation system for the "Python Programming" course, and improves the efficiency and maintainability of the software system development.

Supporting change management of UML class diagrams

Class diagram is an important model in object-oriented software development. A class diagram specifies the structure of a system with the system's classes, classes’ attributes and methods, and relations among classes. Sometimes class diagrams should be modified in accordance with requirements changes or correction of errors. In such a modification, careless mistakes may lead to include another error in the diagram. In this paper, we propose a method of visualization of the difference between original class diagram and modified one by emphasizing the difference in order to avoid newly produced errors. We illustrate our method with examples.

Sistem Informasi Monitoring Barang Produksi Menggunakan Metode FIFO

Gold or aurum (Au) is a precious metal, because it is stable, does not change substances, does not oxidize
 in normal air, has stable properties, and is a pure element. In the current era, there are many companies
 in the jewelry sector that produce various processed products from gold, such as bracelets, rings,
 necklaces, etc. Given the importance of data collection for companies, it is necessary to monitor and
 collect data on production goods. In the face of developments in the modern era today requires a system
 to improve the quality of goods management. No PT. HARTADINATA ABADI TBK (HRTA) is engaged in
 manufacturing gold jewelry and jewelry. The company has a product marketing distribution network with
 wholesalers, retailers and own stores. Those who have data collection problems are still using the manual
 system. The author makes a web-based goods monitoring information system using qualitative descriptive
 analysis research methods. This type of research is generally used in social phenomenology. One of these
 social studies is related to guidance and counseling research. The system is made using the HTML, CSS,
 PHP, javascript and database programming languages using MYSQL, with the Object Oriented Software
 Engineering (OOSE) development method emphasizing use cases, so this system can be used to support
 the performance of the head of the polishing division and the polishing admin of the division.

Gamification Design Patterns for User Engagement

The rapid development of technology in today’s times make business’ survival a rather complex task. It is therefore necessary for the specialized organization and administration of each company to differentiate and strengthen its competitive advantages. Gamification is an established practice in many business domains and can enforce employees to engage in business processes and change aspects of their behavior. Even though numerous gamification patterns that are described in literature have been used so far by businesses to various working environments, the outcomes were not the best possible that we would expect in terms of their right utilization to business non-game contexts. Thus, there is need for concise gamification patterns that can offer right guidance to game designers in business. Gamification design patterns can provide a distilled knowledge of techniques of how to design object-oriented software. This paper aims to address this gap in existing literature by describing new gamification design patterns, classifying them according to specific criteria and providing new information to this research domain. Our study is a descriptive literature review and is based on review of previous works. This descriptive literature review tries to give a better understanding by proposing new gamification design patterns in the continuously evolving research domain of gamification design patterns.

Aplikasi Pengelolaan Data Penduduk di Kantor RW Berbasis Web

The RW17 Citaliktik Soreang office is one of the Residents' Associations having its address at Kp. Citaliktik Soreang Islamic Boarding School with various kinds of resident activities. Currently the population data collection at the Citaliktik RW17 Office is to collect citizen data in a conventional manner according to its category. With this, it is necessary to implement an information system, namely the Population Data Collection Application which is implemented through the website. By utilizing a computer or laptop device, the system will be developed using object-oriented software development and programming (OOAD) methods. With the aim of being able to assist the RW17 Citaliktik Soreang Office in improving the existing system with the hope that the processing and presentation of population data which is still conventional can make it easier to make this population data collection application. The result of making the application is a Population Data Collection Application at the RW17 Citaliktik Soreang Office.

Components.js: Semantic dependency injection

A common practice within object-oriented software is using composition to realize complex object behavior in a reusable way. Such compositions can be managed by Dependency Injection (DI), a popular technique in which components only depend on minimal interfaces and have their concrete dependencies passed into them. Instead of requiring program code, this separation enables describing the desired instantiations in declarative configuration files, such that objects can be wired together automatically at runtime. Configurations for existing DI frameworks typically only have local semantics, which limits their usage in other contexts. Yet some cases require configurations outside of their local scope, such as for the reproducibility of experiments, static program analysis, and semantic workflows. As such, there is a need for globally interoperable, addressable, and discoverable configurations, which can be achieved by leveraging Linked Data. We created Components.js as an open-source semantic DI framework for TypeScript and JavaScript applications, providing global semantics via Linked Data-based configuration files. In this article, we report on the Components.js framework by explaining its architecture and configuration, and discuss its impact by mentioning where and how applications use it. We show that Components.js is a stable framework that has seen significant uptake during the last couple of years. We recommend it for software projects that require high flexibility, configuration without code changes, sharing configurations with others, or applying these configurations in other contexts such as experimentation or static program analysis. We anticipate that Components.js will continue driving concrete research and development projects that require high degrees of customization to facilitate experimentation and testing, including the Comunica query engine and the Community Solid Server for decentralized data publication.

Class-Level Refactoring Prediction by Ensemble Learning with Various Feature Selection Techniques

Background: Refactoring is changing a software system without affecting the software functionality. The current researchers aim i to identify the appropriate method(s) or class(s) that needs to be refactored in object-oriented software. Ensemble learning helps to reduce prediction errors by amalgamating different classifiers and their respective performances over the original feature data. Other motives are added in this paper regarding several ensemble learners, errors, sampling techniques, and feature selection techniques for refactoring prediction at the class level. Objective: This work aims to develop an ensemble-based refactoring prediction model with structural identification of source code metrics using different feature selection techniques and data sampling techniques to distribute the data uniformly. Our model finds the best classifier after achieving fewer errors during refactoring prediction at the class level. Methodology: At first, our proposed model extracts a total of 125 software metrics computed from object-oriented software systems processed for a robust multi-phased feature selection method encompassing Wilcoxon significant text, Pearson correlation test, and principal component analysis (PCA). The proposed multi-phased feature selection method retains the optimal features characterizing inheritance, size, coupling, cohesion, and complexity. After obtaining the optimal set of software metrics, a novel heterogeneous ensemble classifier is developed using techniques such as ANN-Gradient Descent, ANN-Levenberg Marquardt, ANN-GDX, ANN-Radial Basis Function; support vector machine with different kernel functions such as LSSVM-Linear, LSSVM-Polynomial, LSSVM-RBF, Decision Tree algorithm, Logistic Regression algorithm and extreme learning machine (ELM) model are used as the base classifier. In our paper, we have calculated four different errors i.e., Mean Absolute Error (MAE), Mean magnitude of Relative Error (MORE), Root Mean Square Error (RMSE), and Standard Error of Mean (SEM). Result: In our proposed model, the maximum voting ensemble (MVE) achieves better accuracy, recall, precision, and F-measure values (99.76, 99.93, 98.96, 98.44) as compared to the base trained ensemble (BTE) and it experiences less errors (MAE = 0.0057, MORE = 0.0701, RMSE = 0.0068, and SEM = 0.0107) during its implementation to develop the refactoring model. Conclusions: Our experimental result recommends that MVE with upsampling can be implemented to improve the performance of the refactoring prediction model at the class level. Furthermore, the performance of our model with different data sampling techniques and feature selection techniques has been shown in the form boxplot diagram of accuracy, F-measure, precision, recall, and area under the curve (AUC) parameters.

Design and evaluation of a collaborative UML modeling environment in virtual reality.

Modeling is a key activity in conceptual design and system design. Through collaborative modeling, end-users, stakeholders, experts, and entrepreneurs are able to create a shared understanding of a system representation. While the Unified Modeling Language (UML) is one of the major conceptual modeling languages in object-oriented software engineering, more and more concerns arise from the modeling quality of UML and its tool-support. Among them, the limitation of the two-dimensional presentation of its notations and lack of natural collaborative modeling tools are reported to be significant. In this paper, we explore the potential of using virtual reality (VR) technology for collaborative UML software design by comparing it with classical collaborative software design using conventional devices (desktop PC/laptop). For this purpose, we have developed a VR modeling environment that offers a natural collaborative modeling experience for UML Class Diagrams. Based on a user study with 24 participants, we have compared collaborative VR modeling with conventional modeling with regard to efficiency, effectiveness, and user satisfaction. Results show that the use of VR has some disadvantages concerning efficiency and effectiveness, but the user's fun, the feeling of being in the same room with a remote collaborator, and the naturalness of collaboration were increased.

Towards Verifying UML Class Diagram and Formalizing Generalization/Specialization Relationship with Mathematical Set Theory

The Unified Modeling Language (UML) is considered the de facto standard for object-oriented software model development. This makes it appropriate to be used in academia courses at both the graduate and undergraduate levels of education. Some challenges to using the UML is academia are its large number of model concepts and the imprecise semantic of some of these concepts. These challenges are daunting for students who are being introduced to the UML. One approach that can be taken in teaching UML towards addressing these concerns is to limit the number of UML concepts taught and recognize that students may not be able to develop correct UML system models. This approach leads to research work that develop a limited set of UML model concepts that are fewer in number and have more precise semantics. In this paper, we present a new approach to resolve an aspect of this problem by simplifying the generalization/specialization semantics of the class diagram through the application of mathematical formality to usage of these class diagram concepts. Along with that, we discuss the progress of research in the area of verification of UML class models. This research work derives a core set of concepts suitable for graduate and undergraduate comprehension of UML modeling and defines more precise semantics for those modeling concepts. The applicable mathematical principles applied in this work are from the domains of set theory and predicate logic. This approach is particularly relevant for the pedagogy of software engineering and the development of software systems that require a high level of reliability.

Neural Network-Based Model for the Quality Assessment of Object-Oriented Software

Software quality assessment is an important subject among the researchers in the software development domain. The quality assessment is generally done either at the design level through some of the design attributes or through code when the product is ready. These two types of software quality are referred to as design quality and product quality, respectively. Several techniques and tools are available that facilitate to assess the design as well as the product quality of software. In this paper, a neural network model is proposed for the assessment of quality of object-oriented software at the product level. The authors select a subset of existing object-oriented metrics that are normalized at three levels and used to find quality factors like understandability, reusability, flexibility, maintainability, reliability, extensibility, and modifiability for the model development. The model is validated by assessing quality levels of 33 open source object-oriented software of different design complexities and observing a high correlation between these quality levels in comparison with an existing model.

Quantification of the asynchronous gas diffusivity in macro-/micropores using a Nelder-Mead simplex algorithm and its application on predicting desorption-based indexes

Accurate and intelligent calculation of diffusion coefficient not only helps reduce greenhouse gas emissions, but also conduces to CO2 geological storage and CH4 displacement in coal seams. In this study, a kind of object-oriented software for conveniently and quickly obtaining bidisperse (i.e., macro-pore and micro-pore) diffusion coefficients and grasping main controlling factors of macroscopic desorption curves was designed based on the Nelder-Mead simplex algorithm. Furthermore, the gas desorption characteristics under different pressures were analyzed by performing conventional desorption experiments. The results show that the apparent diffusion coefficient obtained by the bulk technique displays three different trends as the pressure rises, namely a rising, falling and constant diffusion coefficient respectively. The three variation trends mainly result from the difference in deformation caused by adsorption swelling and mechanical compression. As desorption continues, the gas diffusion coefficient values in the macro-pores and micro-pores fluctuate for a short time, but increase in the long term. This is because the early stage corresponds to intense mechanical expansion and a flow boundary effect, while the later stage corresponds to an increasingly intense effect of desorption-induced shrinkage. Moreover, the time-dependent contribution law of macro-pore diffusion and micro-pore diffusion affects the reliability of outburst risk index, making △h2 more stable than K1. The conclusions provide theoretical guidance for the selection of rational gas drainage methods for diffusion-controlled coal seams.

DOOML: A New Database & Object-Oriented Modeling Language for Database-Driven Web Application Design and Development

A database driven web application is a very common software solution to rising business problems. Modeling the database and the software architecture can be challenging, hence there not being one combined modeling language for database and software architecture, specifically suited for web application development. In this paper we present Database object-oriented Modeling Language (DooML) and its primary Archetype Diagram: a notation for specifying the design of a database schema and corresponding object-oriented software architecture. It combines the syntax for drawing Entity Relationship Diagrams, the Relational Model and Universal Modeling Language Class Diagrams as well to create a mixed diagram, stating database design as well as software design specifications. By default, DooML ensures that the approach of advanced web application development is model-driven and both database-oriented as well as object-oriented.

Current Distribution Modeling in the Open-Source OPENSC2 Tool for the Multi-Physics Analysis of HTS and LTS Cables

In the framework of Open Science, the OPENSC <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> open-source object-oriented software for multi-physics analysis has been developed to simulate the operating transients in forced-flow superconducting cables for fusion and power applications. Due to high magnetic fields and transport currents involved, the dissipated power by Joule effect and AC losses can compromise the thermal stability of the superconductors, so that the electromagnetic problem comes intrinsically with the thermal-hydraulic one. The numerical current distribution model, recently developed for OPENSC <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> , is reported here. After the solution verification and validation, followed by benchmarks against other software and experimental data, a first coupling with the thermal-hydraulic transients has been tested and reported in this work.

Constructing a Software Tool to Optimize Performance by Coupling Detection

Coupling relations reflect the interdependencies of software modules and can be used to assess a program's quality— Lower the coupling value will be, the higher the quality of the software will be. Coupling measures are crucial for determining the quality of object-oriented software, from design up to maintenance. Inside software engineering, quality attributes are realized non-functional requirements utilized to assess whether the software is of good quality or not, One of the quality attributes is Performance, which means the system can respond to various actions in a given time or how fast does it respond or execute. To calculate the total amount of time a program will require to run until completion use Time Complexity. In this paper a Computer Aided Software Engineering Tool has been constructed which is called CDPI (Coupling Detection to Performance Improvement). It parse a software source code to extract information about its structure, components, and relationships that connect its parts. That leads to improving the software readability, understandability and for detects coupling among classes of Java software.The CDPI tool detects coupling in software source code and Show it in table to the software engineer, To start the process of decoupling by the software engineer for the candidate coupling. The CDPI tool was tested by inputting software written in OOP by Java language. The CDPI Tool were evaluated by calculating the Time Complexity before and after decoupling. Results, source code after the decoupling is executed faster than before decoupling to produce the required output, which is an indication of Optimize Runtime Performance of the program.

Detecting and Confining Software Errors: An Evaluation of Three Executable Assertions Based Solutions

The complexity of current software and the various dependencies between their components can affect their reliability, in particular their ability to tolerate faults. In object-oriented software, the interactions derived from such dependencies can lead to the propagation of errors. This problem can be resolved by implementing error detection and error containment mechanisms. Such techniques are used to tolerate faults. In this paper, we present three solutions where a component is reinforced in order to detect errors and limit their propagation to dependent components.

Design and Development E-Mading System For Information Students

This study aims to facilitate the provision of information and reduce the amount of paper use in the Department of Electronics Engineering, Faculty of Engineering, Padang State University. With the large amount of paper used to provide information on conventional e-mading, it causes too much paper to be wasted and not too effective in providing information. With the large amount of paper wasted also causes inefficient time. Because too much information and announcements reported to the Electronics Engineering Department cannot be managed by admin in the Department of Eletronics, Faculty of Engineering, Padang State University. Therefore, for now there is a need for a digital madding to manage information and reduce the amount of paper usage. There are 2 methods used in this study are Data Collection Methods and System Development Methods. This Data Collection Method uses interview and observation techniques, while the System Development Method uses USDP. In this study using the USDP method, where this method can do an object-oriented software development, design and analysis of software design using the UML approach (Unifed Modeling Language)

Distance learning quality assessment of universities based on interval monotonic decision tree algorithm

The standards and procedures of teaching quality evaluation systems improved with the continuous advancement of Video Internet of Things (VIoT) in the distance learning reform across colleges and universities. The old teaching quality rating approach is no longer adequate. We explore the idea of developing and designing the quality evaluation system for distance learning in this paper using an efficient interval monotonic decision tree algorithm. We use relational database technology to centralize the management of various knowledge elements in the VIoT system. It enables the VIoT system to perform operations like browse, delete, add, and modify knowledge that enhances knowledge transparency for designers and introduces intervals. We designed the interval monotonic decision tree algorithm with an evaluation domain partitioned. The proposed method creates the decision evaluation matrix, summarizes it, and obtains the evaluation conclusion using the complete weighting technique. Aspects of the system logic are tested using object-oriented software engineering, object-oriented design and analysis of requirements, and black-box testing.

CIAFP

Object-oriented (OO) code has many dependencies among the classes and different types of changes that often have an impact during the maintenance of the software. In this paper, we proposed a technique for change impact analysis (CIA) with fault prediction (FP) using machine learning techniques for OO software. In proposed method an intermediate OO program representation is proposed using a graph which detects the difference between the original program and the modified program. For fault prediction, class level metrics are extracted from KC1 data set and 14 machine learning algorithms are trained on dataset. The genetic algorithm (GA) and correlation are used to extract significant features from the dataset. Trained prediction models are evaluated using classification accuracy (Acc). Our proposed approach consider various types of changes possible in the program, and test cases are selected to test the modified code during regression testing and finds the fault in classes. Among the 14 machine learning algorithms random forest (RF) giving best accuracy than other algorithms.

Metrics for reusability of java language components

Software reuse is a promising opportunity for a software development process that helps in achieving an improved quality of the developed software system. Improved quality also promotes software architecture reuse opportunities. From the past few decades, software reuse is actively gaining popularity in the form of Component Based Software Development (CBSD). The components being the basic unit in CBSD, accessing their reusability is a useful and open area of investigation. The extent of the reusability can be quantified based on the extent of intra and inter-connectivity of the attributes/ characteristics of the component. This can be computed by defining suitable metrics to measure the reusability of a component. Although, there exist some metric suites such as CK, MOOD, Halstead, McCabe’s metric, etc. for measuring the reusability of the object-oriented software systems, but they are not directly reusable in the CBSD environment. This is due to the fact that these metrics are applicable only at the class level and they do not target the interfaces of the component that are important and define the composability of the component in the CBSD environment. Therefore, this paper aims to study the reusability, flexibility, composability, and adaptability aspects of the software component. Further, based on the study conducted, we propose a reusability metric suite specially designed for the JavaBeans. This metric helps to measure the architecture level reusability of the JavaBeans. The JavaBeans component standard is specially targeted in this paper because components based on this standard are not fully explored and only a few metric suites exist for measuring the reusability of the JavaBeans. The proposed component reusability metric suite is validated both experimentally as well as against Briand’s framework.