Software Engineering Development Research Articles

Design and Research on Evaluation System of Computer Pro-gramming Code Quality

With the ongoing development of software engineering and programming education, the demand for evaluating programming code quality is increasing. High-quality code not only en-hances software maintainability and performance but also helps developers and learners optimize their coding skills. This paper focuses on the design and implementation of an evaluation system for computer programming code quality, proposing a multi-dimensional evaluation method that includes readability, complexity, efficiency, and security. The system combines static analysis with machine learning to automate code analysis and optimization recommendations, providing users with objective feedback on code quality. Additionally, this paper explores application cases of the system in programming education and software development, demonstrating its effectiveness in improving code quality and enhancing users' programming skills. Finally, the research contribu-tions are summarized, and directions for future improvements are proposed to further enhance the system’s intelligence and applicability.

Technological tools for multiplatform software development within the labor sector

This article presents the results of a research carried out by graduates of the Software Development and Management Engineering degree, generation 2019-2022 and 2020-2023 from the Universidad Tecnológica de Tehuacán; with the objective of identifying the technological tools that the software production sector currently implements in the development of multiplatform applications. A survey was applied to the graduates according to the Tuning Latin America project to be answered based on their professional experience developed during their stay and work activity. With the statistical analysis, the programming languages, frameworks and databases implemented and/or in trend could be identified. The results were of great impact to generate a comparison with the tools implemented within the curricular map of the Educational Program and thereby strengthen its academic activities and technical knowledge to guarantee the quality of the service offered by the institution at a professional level.

Team Composition in Software Engineering Development Phases: A systematic literature review

Team Composition in Software Engineering Development Phases: A systematic literature review

Integration and Synergistic Development of Computer Software Technology and Big Data Systems

Integration and Synergistic Development of Computer Software Technology and Big Data Systems

Integrating Generative AI into the Software Development Lifecycle: Impacts on Code Quality and Maintenance

Recent advances in generative AI have depicted it as a revolutionary approach in the software development technologies pioneered to improve the codes' reliability and sustain their quality and performance. Generative AI tools can help develop code independently, suggest intelligent solutions and ideas, and enhance several development procedures thanks to superior algorithms and machine learning features. This paper discusses how generative AI can/has been applied within software development to achieve the following three goals: First, to increase the code quality using automated code generation/review. Second, the code maintainability should be improved through standards and documentation. Third, to increase the up-to-speed development productivity due to AI-based automation, namely the automation of repetitive tasks and fast prototyping. The paper also considers issues and difficulties that can be tied to AI in this context: problems of dependence on AI, ethical and security issues, and technical imperfections. Finally, the implications of generative AI in software development in the future are presented, which can open a new direction in the development of software products while primarily pointing to the processes of managing the introduction of generative AI. Using the evaluation of the current possibilities and future perspectives of generative AI presented in this paper, one can conclude its impact on the future of software engineering.

Accelerating Evidence Synthesis in Observational Studies: Development of a Living Natural Language Processing-Assisted Intelligent Systematic Literature Review System.

Systematic literature review (SLR), a robust method to identify and summarize evidence from published sources, is considered to be a complex, time-consuming, labor-intensive, and expensive task. This study aimed to present a solution based on natural language processing (NLP) that accelerates and streamlines the SLR process for observational studies using real-world data. We followed an agile software development and iterative software engineering methodology to build a customized intelligent end-to-end living NLP-assisted solution for observational SLR tasks. Multiple machine learning-based NLP algorithms were adopted to automate article screening and data element extraction processes. The NLP prediction results can be further reviewed and verified by domain experts, following the human-in-the-loop design. The system integrates explainable articificial intelligence to provide evidence for NLP algorithms and add transparency to extracted literature data elements. The system was developed based on 3 existing SLR projects of observational studies, including the epidemiology studies of human papillomavirus-associated diseases, the disease burden of pneumococcal diseases, and cost-effectiveness studies on pneumococcal vaccines. Our Intelligent SLR Platform covers major SLR steps, including study protocol setting, literature retrieval, abstract screening, full-text screening, data element extraction from full-text articles, results summary, and data visualization. The NLP algorithms achieved accuracy scores of 0.86-0.90 on article screening tasks (framed as text classification tasks) and macroaverage F1 scores of 0.57-0.89 on data element extraction tasks (framed as named entity recognition tasks). Cutting-edge NLP algorithms expedite SLR for observational studies, thus allowing scientists to have more time to focus on the quality of data and the synthesis of evidence in observational studies. Aligning the living SLR concept, the system has the potential to update literature data and enable scientists to easily stay current with the literature related to observational studies prospectively and continuously.

A Chronicle of Quantum Technologies in Game and Software Development.

The ongoing second quantum revolution, marked by advancements harnessing quantum phenomena, has permeated various fields, including communications, computation, and networking, collectively known as quantum technologies (QTs). Quantum computing, a focal point within QT, has led to the emergence of quantum games, a novel research and development area exploring creative applications of quantum computing in game development. While more than 300 quantum games have been developed by enthusiasts and commercial parties, a comprehensive research program or state-of-the-art review is notably absent. This article addresses this gap by conducting a thorough literature review, presenting current advancements and examples in quantum games and interactive designs, and exploring future prospects for QT in game development practices.

Changing focus: making sustainability a major theme in existing university modules

In this article we report some practical experiences of integrating education for sustainable development into established university teaching modules. The 2021 guidance on Education for Sustainable Development from the UK’s standards bodies QAA and Advance HE is an important and urgent motivation for introducing sustainability into university courses. We take as our context a first-year introductory module in Chemical Products and Process in the School of Chemistry and Chemical Engineering and a second-year module in Software Engineering and Systems Development in the School of Electronics, Electrical Engineering and Computer Science, both at Queen’s University Belfast. We outline some of the challenges of adding new themes to existing courses. We comment on ways of presenting themes of sustainable development alongside existing module content, and we indicate the type of work students produced. We identify approaches that resulted in good outcomes, and outline changes we have made with a view to improved future outcomes.

Mobile Intervention with Neural Networks for the Mental Health of Older Adults

This study presents an applied study with a pure experimental design to evaluate the effectiveness of the application, with the objective of reducing the levels of loneliness and depression through the use of a mobile application based on neural networks in older adults in the city of Trujillo. In addition, software development technologies such as Flutter, Flask, and ExpressJs were used. The results indicate a significant decrease in the levels of emotional and social loneliness and depression in the experimental group (EG) compared to the control group (CG). Reductions of 15.03% in the level of emotional loneliness (LEL), 24.74% in the level of social loneliness, and a remarkable 44.12% in the level of depression were observed in the EG. In addition, a significant increase of 6% in the mood index was evidenced in the EG. This led to the conclusion that after mobile implementation based on neural networks, the alternative hypothesis is supported, statistically demonstrating the effectiveness of the application in reducing loneliness and depression in older adults. These findings suggest a positive impact on the emotional well-being of this population, underscoring the utility of technology in addressing mental health issues in this demographic.

Long-term explantation risk in patients with chronic pain treated with spinal cord or dorsal root ganglion stimulation

ObjectiveTo investigate long-term explantation risks and causes for the explantation of neuromodulation devices for the treatment of chronic pain from different manufacturers.MethodsThis retrospective analysis included patients implanted with a system...

Pengembangan Aplikasi Stunting Care untuk Pemantauan Pertumbuhan Anak

Recording the results of conventional child growth measurements in the Maternal and Child Health book has long been carried out by health workers and posyandu cadres at the Bontoharu Community Health Center, Selayar Regency, and posyandu cadres in Bontotangnga Village. This form of recording takes quite a lot of time, is prone to errors, and the results do not display attractive visualizations, so a reliable form of recording is needed to monitor children's growth as an effort to prevent and treat stunting. The method used in this community service is Community Based Research (CBR). To overcome the problem of stunting early, the Stunting Care application was developed. Stunting Care is an application for monitoring children's growth periodically by entering data on the child's height and weight. This application will provide predicted results for children, whether they are stunting, at risk of stunting, normal or high normal and is equipped with various features. The Stunting Care application was developed using agile development software engineering methods and through black box testing. The test results of the Stunting Care application are classified as good, as indicated by the system functionality running smoothly.

Impact of Flutter Technology in Software Development

Impact of Flutter Technology in Software Development

Numerical simulation of neural activity based on discrete Markov chains with stochastic differential equations

Abstract With the development of new numerical calculation methods and computer software science and technology, people can have a good understanding of the potential mechanisms of cerebrovascular diseases. Here, we combine the stochastic differential equation (SDE) of discrete Markov chains to numerically simulate the dynamic changes of neural signals, and find that the changes of neural signals exhibit regular fluctuations. By analyzing the variation of voltage over time, we know that the voltage change at the next moment is closely related to the previous moment and has continuity. Based on the knowledge of neural ion channel dynamics, it was found that there will be longer peak changes in voltage, exhibiting a power-law distribution, which is consistent with the actual situation and statistical data related to resignation channels. By analyzing the voltage and peak changes of ion channels, we can gain a new understanding of the transmission laws of neural information and greatly improve the biological mechanisms.

Application For Determining The Best Tourism In Jombang District Using The Weighted Product Method Based On Android

This research aims to develop an Android application that uses the Weighted Product (WP) method to determine the best tourist destinations in Jombang Regency. In today's digital era, the need for applications that can help tourists in choosing tourist destinations that suit their preferences and needs is increasing. The Weighted Product Method was chosen because of its ability to evaluate and give weight to various factors that affect tourist satisfaction, such as natural beauty, supporting facilities, accessibility, and safety. This research follows a systematic approach using the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) development model. The analysis stage includes identifying user needs, analyzing system requirements, and determining evaluation criteria. Furthermore, an application design that considers a friendly and functional user interface is created based on the results of the previous analysis. Application development is carried out by utilizing various latest technologies in Android software development. Application implementation involves trials using data on tourist destinations in Jombang Regency to test the effectiveness and accuracy in determining the best tourist destinations. Evaluation is done through feedback from users and analysis of comparison results between destination recommendations provided by the application and user preferences. It is expected that the results of this research will not only make a positive contribution to tourism development in Jombang Regency by improving the quality of service to tourists, but also become a foundation for further research in the development of similar applications using the Weighted Product Method.

ТЕХНОЛОГИЯ РАЗРАБОТКИ БЛОКЧЕЙН В ЭЛЕКТРОЭНЕРГЕТИКЕ

The article discusses blockchain technology in the electric power industry, software development technology based on blockchain architecture and protocols, and blockchain application development technology

Relevance and Resilience: Exploring the Continued Importance of Spring Boot in Modern Application Development

Spring Boot has emerged as a vital technology in modern software development, offering a robust framework for building resilient and scalable applications. This paper inves- tigates the ongoing relevance of Spring Boot in the field of software development. Starting by looking at its beginnings, evolution of Spring Boot from Spring, its features, ecosystem, and adoption trends, we highlight the enduring significance of Spring Boot in enabling developers to streamline development pro- cesses, enhance productivity, and achieve architectural resilience. By simplifying dependency management through starter POMs and reducing boilerplate configuration with auto-configuration, Spring Boot has significantly enhanced the usability of the Spring framework. By delving into some analytics, the paper explains how Spring Boot continues to empower developers to meet the challenges posed by modern application development, including microservices architectures, cloud-native deployments, and DevOps practices. Index Terms—Spring Boot, Spring , Microservice,Spring MVC ,Spring Security , Java

Effect of Algodoo Supported Periodic Table Instruction on Students’ Achievements and Perceptions

In parallel with the development of software technologies, there has been a growing use of useful and accessible simulation tools in education, enhancing the quality of simulations. This study investigates the effect of an activity designed to teach the periodic table on students’ academic achievement and explore students’ perceptions of the activity. The activity was based on the Algodoo tool, which is primarily used in teaching physics courses. This study employed a convergent parallel design as a mixed-methods research approach. The sample consisted of 31 students (16 males, 15 females) in grade 8, attending a central lower secondary school in a city in the Central Anatolia region of Türkiye. Both quantitative and qualitative data were collected and analyzed. The findings demonstrated that the activity supported by the Algodoo simulation software positively impacted students’ academic achievement in learning the periodic table. Furthermore, qualitative data revealed that students had a positive perception of the software in terms of both educational utility and usability. Additionally, students’ scientific skills were developed in the designed instructional environment. According to the findings, the Algodoo software could be incorporated into teaching not only macro-level physics but also chemistry courses.

Differentiated Security Requirements: An Exploration of Microservice Placement Algorithms in Internet of Vehicles

In recent years, microservices, as an emerging technology in software development, have been favored by developers due to their lightweight and low-coupling features, and have been rapidly applied to the Internet of Things (IoT) and Internet of Vehicles (IoV), etc. Microservices deployed in each unit of the IoV use wireless links to transmit data, which exposes a larger attack surface, and it is precisely because of these features that the secure and efficient placement of microservices in the environment poses a serious challenge. Improving the security of all nodes in an IoV can significantly increase the service provider’s operational costs and can create security resource redundancy issues. As the application of reinforcement learning matures, it is enabling faster convergence of algorithms by designing agents, and it performs well in large-scale data environments. Inspired by this, this paper firstly models the placement network and placement behavior abstractly and sets security constraints. The environment information is fully extracted, and an asynchronous reinforcement-learning-based algorithm is designed to improve the effect of microservice placement and reduce the security redundancy based on ensuring the security requirements of microservices. The experimental results show that the algorithm proposed in this paper has good results in terms of the fit of the security index with user requirements and request acceptance rate.

Essential Aspects of Gender-inclusive Computer Science Education

Computer science is a higher education domain that still show a significant male dominance. Many research studies have highlighted the importance of diversity and gender balance in computer science related areas such as software engineering and system development. However, there is still a well-identified problem that university programmes and courses on computer science fail to attract the female audience. The objective of this study is to investigate the concept of gender-inclusive computer science (CS) education with the aim of broadening participation in CS courses and programs. This is conducted through a literature study, initially focusing on keywords and research areas, and subsequently searching into existing research. The research question that guided the study was: "What concepts can be found in literature to make computer science education more gender-inclusive?". Data were analysed thematically in a two-step analysis process inspired by the grounded theory methods of Open coding and Axial coding. Findings suggest that there is significant room for learning in this field, particularly from Critical CS education studies. The Open coding analysis showed that the findings can be categorised into eight main themes. In the Axial coding the themes were merged, refined, renamed, and centred around the main axial theme of 'Epistemological pluralism'. Other essential themes that all are related to the axial main theme were: 'Design and creativity', 'Bias awareness and ethics', 'Collaboration and communication', 'Self-regulated learning', 'Real-world applications', and 'Role models and mentorship'. The result of this study is presented through a visual model that illustrates essential aspects of inclusive computer science education. The paper also proposes various directions for future research.

Preface: 3rd International Conference on Software, Data Processing and Information Technology (SDPIT 2024)

The 2024 3rd International Conference on Software, Data Processing and Information Technology (SDPIT 2024) is a leading conference held at Washington DC, USA during February 17-18, 2024. It encourages communication and collaboration, hoping to provide an international platform for its participants to present, share, and learn the latest advance and development of software engineering, data processing, cloud computation, mathematical modeling and information technology. Academics, researchers, and students from across the world are all welcomed to exchange findings and ideas, to draw further inspirations in these research fields. It's a great opportunity to deepen your understanding in the related topics. Everyone interested in these fields were welcomed to join the conference and to give comments and raise questions to the speeches and presentations. We are hoping we could see each other again next year. Each submission to SDPIT 2024 was reviewed by at least two program committee members. We would like to thank the program committee members and external reviewers for their hard work in reviewing and selecting papers. Hopefully, all participants and other interested readers can benefit scientifically from the proceedings and find it rewarding in the process. Chairman of Conference Committee Washington DC, USA