Software Development Research Articles

Penerapan Model Rational Unified Process (RUP) Dalam Membangun Aplikasi Promosi dan Penjualan Berbasis Web (Studi Kasus: Toko Mie Ayam “Neng Kene Kiyeh”)

This research discusses the application of the Rational Unified Process (RUP) Model in thedevelopment of web-based promotion and sales applications, with a case study at the Chicken Noodle Shop“Neng Kene Kiyeh”. The purpose of this research is to design and implement applications that can increasethe efficiency of promotion and sales of chicken noodle products through digital platforms. The RUPmethod was chosen because of its iterative approach and focus on user needs, allowing for more structuredand controlled software development. The RUP model consists of four main phases: inception, elaboration,construction, and transition. In the inception phase, a needs identification and feasibility study are conductedto ensure that the application to be developed matches the business needs of the store. The elaboration phaseinvolves more in-depth analysis and system design, including use case modeling, risk analysis, andapplication architecture design. In the construction phase, application development is carried out with aniterative approach, allowing for improvements and adjustments based on user feedback. The transitionphase involves application testing and end-user training, as well as full system implementation. The result ofthis research is a web application that has main features such as product catalog, online ordering system, inventory management, and integrated digital promotion. The implementation of this application is expectedto increase the visibility of Chicken Noodle Shop “Neng Kene Kiyeh” in the digital market, simplify theordering process for customers, and increase sales. The trial shows that this application can function asexpected, and provides significant benefits in the store's operational processes. The conclusion of thisresearch is that the application of the RUP model can be an effective approach in building web-basedpromotional and sales applications, with a focus on meeting user needs and improving businessperformance.

A Systematic Literature Review for Investigating DevOps Metrics to Implement in Software Development Organizations

ABSTRACTDevOps is a collaborative software development process where practitioners work as a team to continuously develop, deploy, and deliver software. DevOps practices still need to be mature, and practitioners face numerous challenges while considering DevOps as a software development process. The mainstream research community has helped simplify the DevOps adoption process and eliminate complexities by developing DevOps maturity models. However, the current maturity frameworks cannot measure every component of DevOps and do not mention metrics as parameters for measuring different DevOps practices or features. Therefore, this study aims to identify metrics for measuring practices and activities responsible for DevOps implementation. The systematic literature review (SLR) method was used to determine the metrics needed to measure DevOps practices. Using SLR, we have identified 32 metrics from 57 articles. The metrics identified in this study can be used to measure the impact of the practices adopted for DevOps implementation within software development organizations. Furthermore, we divided the identified metrics into Dev and Ops categories and five significant categories based on the DevOps lifecycle. The classification of metrics in our study into diverse regions provides a conceptual framework and understanding of DevOps measures.

Implementasi Metode CRM (Customer Relationship Management) pada Sistem Informasi Website Nadu Screen Printing

This research aims to implement the CRM (customer relationship management) method on the Nadu Screen Printing website information system which is useful for simplifying customer orders and processing customer databases. This research uses the Agile software development method. The evaluation results with the System Usability Scale (SUS) show that this system meets the standards with a final score reaching 86.5 in the "Acceptable" category with a grade scale of "A" and a rating of "Best Imaginable".

A Project Model to Evaluate the Feasibility of the Cognizant Flow Source

This work discussed a project being steered in Cognizant, India for the design, development and implementation of Cognizant Flowsource. Flowsource is an AI-powered, incorporated full-stack platform that accompanies in the succeeding generation of engineering. The IT solution allows quicker innovation by integrating generative AI hooked on vital phases of the software development lifecycle (SDLC), allowing developers to concentrate on rich features and incomparable user experiences (cognizant.com). Initially the researcher applied the Critical Path Method (CPM) to evaluate the feasibility of the project and this was complemented later by developing a Project Evaluation Review Technique (PERT) model. The work also presented costs calculations to determine the applicability of the project. The research reports how the Flowsource development project is being managed by the operations department of the company and suggests alternative manners of solving problems identified in the development of the IT solution.

Enhancing educational efficiency: Generative AI chatbots and DevOps in Education 4.0

AbstractThe emergence of new technologies has developed a new industrial need for engineering graduate students. This modern industry needs a modern educational framework to support further development. This research revolves around developing the learning methodological approach for university courses that aligns with Education 4.0 and can fulfill the essential knowledge requirements for future engineers in Industry 4.0. We used a constructive approach as a baseline methodology already proven in the field of engineering education. On the other hand, we modified this approach by implementing Industry 4.0 standards, such as Agile methodology, DevOps tools, and Artificial intelligence chatbots. In this way, we managed to establish one more step in the digital transformation of education as one of the paramount cornerstones of Industry 4.0. As a result, during the course, Agile methodology and DevOps tools created a learning environment very similar to the real software development environment in companies. The efficiency of the delivery of the learning material also increased by implementation and integration of AI chatbots. This was tracked by the number of projects developed during course implementation. The study showed that in the field of education, the implementation of novel approaches developed in the industry to increase efficiency can be implemented in the educational environment. It also showed that the implementation of those methodologies does not hinder but improves the efficiency of the educational cycle.

WATERFALL MODEL OVER PCD.UCT MODEL REVIEW

Abstract. The software development life cycle (SDLC) has seen the evolution of numerous models, each tailored to meet specific project needs. Among these, the Waterfall Model has been a longstanding, traditional approach, characterized by its linear and sequential phases. In contrast, the PcD.UcT Model, a relatively newer framework, advocates for a more iterative and user-centered approach. This paper presents a comprehensive review of the Waterfall Model, evaluating its strengths and limitations in modern software development. It contrasts these findings with the PcD.UcT Model, analyzing how its principles better align with contemporary project demands, particularly in terms of flexibility, user engagement, and iterative refinement. Through this comparative analysis, the paper aims to provide insights into the applicability and effectiveness of each model, offering guidance for software development teams in choosing the appropriate methodology for their projects. Since the waterfall development methodology, the key requirements in system development strategies have shifted from processes to users. Because the process as well as the customers are both equally important, employing either a predictive or an adaptive methodology is extremely difficult. The primary goal of this work is mainly combining and then evaluating all the relevant methodologies in order to create a HydroGIS that accurately automates the complexities of the hydrology process in a HydroGIS environment while meeting all user requirements.

Semi-automatic robotic puncture system based on deformable soft tissue point cloud registration.

Traditional surgical puncture robot systems based on computed tomography (CT) and infrared camera guidance have natural disadvantages for puncture of deformable soft tissues such as the liver. Liver movement and deformation caused by breathing are difficult to accurately assess and compensate by current technical solutions. We propose a semi-automatic robotic puncture system based on real-time ultrasound images to solve this problem. Real-time ultrasound images and their spatial position information can be obtained by robot in this system. By recognizing target tissue in these ultrasound images and using reconstruction algorithm, 3D real-time ultrasound tissue point cloud can be constructed. Point cloud of the target tissue in the CT image can be obtained by using developed software. Through the point cloud registration method based on feature points, two point clouds above are registered. The puncture target will be automatically positioned, then robot quickly carries the puncture guide mechanism to the puncture site and guides the puncture. It takes about just tens of seconds from the start of image acquisition to completion of needle insertion. Patient can be controlled by a ventilator to temporarily stop breathing, and patient's breathing state does not need to be the same as taking CT scan. The average operation time of 24 phantom experiments is 64.5 s, and the average error between the needle tip and the target point after puncture is 0.8mm. Two animal puncture surgeries were performed, and the results indicated that the puncture errors of these two experiments are 1.76mm and 1.81mm, respectively. Robot system can effectively carry out and implement liver tissue puncture surgery, and the success rate of phantom experiments and experiments is 100%. It also shows that the puncture robot system has high puncture accuracy, short operation time, and great clinical value.

CIPHER: Cybersecurity Intelligent Penetration-Testing Helper for Ethical Researcher

Penetration testing, a critical component of cybersecurity, typically requires extensive time and effort to find vulnerabilities. Beginners in this field often benefit from collaborative approaches with the community or experts. To address this, we develop Cybersecurity Intelligent Penetration-testing Helper for Ethical Researchers (CIPHER), a large language model specifically trained to assist in penetration testing tasks as a chatbot. Unlike software development, penetration testing involves domain-specific knowledge that is not widely documented or easily accessible, necessitating a specialized training approach for AI language models. CIPHER was trained using over 300 high-quality write-ups of vulnerable machines, hacking techniques, and documentation of open-source penetration testing tools augmented in an expert response structure. Additionally, we introduced the Findings, Action, Reasoning, and Results (FARR) Flow augmentation, a novel method to augment penetration testing write-ups to establish a fully automated pentesting simulation benchmark tailored for large language models. This approach fills a significant gap in traditional cybersecurity Q&A benchmarks and provides a realistic and rigorous standard for evaluating LLM’s technical knowledge, reasoning capabilities, and practical utility in dynamic penetration testing scenarios. In our assessments, CIPHER achieved the best overall performance in providing accurate suggestion responses compared to other open-source penetration testing models of similar size and even larger state-of-the-art models like Llama 3 70B and Qwen1.5 72B Chat, particularly on insane difficulty machine setups. This demonstrates that the current capabilities of general large language models (LLMs) are insufficient for effectively guiding users through the penetration testing process. We also discuss the potential for improvement through scaling and the development of better benchmarks using FARR Flow augmentation results.

From Code to Care: The Impact of Software Engineering and QA on Healthcare Delivery Systems

The rapid digitalization of healthcare has led to an unprecedented reliance on software systems to improve patient care, streamline operations, and ensure regulatory compliance. This article presents a comprehensive analysis of the critical role that software engineering and quality assurance (QA) play in three key areas of modern healthcare: Electronic Health Records (EHRs), telemedicine platforms, and medical device software. Through an examination of current practices, challenges, and case studies, we demonstrate how robust software engineering methodologies and rigorous QA processes contribute to the development of reliable, secure, and efficient healthcare applications. Our findings highlight the importance of data integrity, interoperability, user experience, and regulatory compliance in healthcare software development. Furthermore, we explore emerging trends such as artificial intelligence, blockchain, and the Internet of Medical Things (IoMT), discussing their implications for future software engineering and QA practices in healthcare. This article provides valuable insights for healthcare organizations, software developers, and policymakers, offering recommendations to enhance the quality and safety of software-driven healthcare solutions.

Microservices with Spring Boot: Simplifying Distributed Systems

This comprehensive article explores the synergy between microservices architecture and Spring Boot, highlighting their combined potential in modern software development. It delves into the fundamental concepts of microservices, including their key characteristics and advantages over monolithic architectures. The article then examines Spring Boot's specific benefits to microservices development, such as autoconfiguration, starter projects, and seamless integration. Key concepts in microservices architecture are discussed, along with their implementation using Spring Boot. A practical e-commerce application example illustrates the application of these concepts. Finally, the article provides a step-by-step guide for getting started with Spring Boot microservices, offering additional considerations and best practices to avoid common pitfalls.

Test Case Automation: Transforming Software Testing in the Digital Era

Purpose: This research aims to explore the limitations of manual software testing, the effectiveness of test case automation in addressing these challenges, and the strategies for successful implementation of automation. It also examines the broader impact of adopting test automation on the quality, speed, and efficiency of software delivery. Methodology: The study investigates the challenges of manual testing in agile and DevOps environments and explores the role of automation as a solution. By analyzing various automation tools, frameworks, and best practices, the research provides insights into successful implementation strategies for test case automation. Additionally, it reviews the associated benefits and potential challenges organizations may face when transitioning to automated testing. Findings: Test case automation significantly mitigates the shortcomings of manual testing, particularly in fast-paced development cycles. The findings reveal that automation not only enhances the quality of software by catching defects earlier but also accelerates the testing process, improving overall efficiency. However, the study also identifies challenges, such as the initial investment in tools and skills required for automation, as well as the ongoing need for maintenance of automated test cases. Unique Contribution to Theory, Policy and Practice: This research contributes to the theoretical understanding of software testing (Tom Badgett, Corey Sandler & Glenford J. Myers, 2011) by highlighting the essential role of automation in modern software development methodologies like agile and DevOps. It bridges the gap between traditional manual testing and contemporary automated practices, providing a framework for understanding how automation fits within these rapid development paradigms. In practice, the study encourages organizations to adopt test case automation as a critical policy for improving the quality and speed of software delivery. It offers practical insights into the implementation of automation, including tool selection, training, and process integration, which can guide companies in transitioning to automated testing. Additionally, it highlights the long-term benefits of automation, making it a valuable policy consideration for organizations aiming to optimize their development and testing processes.

Wearable neurofeedback acceptance model for students’ stress and anxiety management in academic settings

This study investigates the technology acceptance of a proposed multimodal wearable sensing framework, named mSense, within the context of non-invasive real-time neurofeedback for student stress and anxiety management. The COVID-19 pandemic has intensified mental health challenges, particularly for students. Non-invasive techniques, such as wearable biofeedback and neurofeedback devices, are suggested as potential solutions. To explore the acceptance and intention to use such innovative devices, this research applies the Technology Acceptance Model (TAM), based on the co-creation approach. An online survey was conducted with 106 participants, including higher education students, health researchers, medical professionals, and software developers. The TAM key constructs (usage attitude, perceived usefulness, perceived ease of use, and intention to use) were validated through statistical analysis, including Partial Least Square-Structural Equation Modeling. Additionally, qualitative analysis of open-ended survey responses was performed. Results confirm the acceptance of the mSense framework for neurofeedback-based stress and anxiety management. The study contributes valuable insights into factors influencing user intention to use multimodal wearable devices in educational settings. The findings have theoretical implications for technology acceptance and practical implications for extending the usage of innovative sensors in clinical and educational environments, thereby supporting both physical and mental health.

360° CZT-SPECT/CT cameras: 99mTc- and 177Lu-phantom-based evaluation under clinical conditions

PurposeFor the first time, three currently available 360° CZT-SPECT/CT cameras were compared under clinical conditions using phantom-based measurements.MethodsA 99mTc- and a 177Lu-customized NEMA IEC body phantom were imaged with three different cameras, StarGuide (GE Healthcare), VERITON-CT versions 200 (V200) and 400 (V400) (Spectrum Dynamics Medical) under the same clinical conditions. Energy resolution and volumetric sensitivity were evaluated from energy spectra. Vendors provided the best reconstruction parameters dedicated to visualization and/or quantification, based on their respective software developments. For both 99mTc- and 177Lu-phantoms, noise level, quantification accuracy, and recovery coefficient (RC) were performed with 3DSlicer. Image quality metrics from an approach called “task-based” were computed with iQMetrix-CT on 99mTc visual reconstructions to assess, through spatial frequencies, noise texture in the background (NPS) and contrast restitution of a hot insert (TTF). Spatial resolution indices were calculated from frequencies corresponding to TTF10% and TTF50%.ResultsDespite the higher sensitivity of VERITON cameras and the enhanced energy resolution of the V400 (3.2% at 140 keV, 5.2% at 113 keV, and 3.6% at 208 keV), StarGuide presents comparable image quality. This highlights the need to differentiate sensitivity from count quality, which is influenced by hardware design (collimator, detector block) and conditions image quality as well as the reconstruction process (algorithms, scatter correction, noise regulation). For 99mTc imaging, the quantitative image optimization approach based on RCmean for StarGuide versus RCmax for V200 and V400 systems (RCmean/RCmax: 0.9/1.8; 0.5/0.9; 0.5/0.9 respectively—Ø37 mm). SRTB10/50 showed nearly equivalent spatial resolution performances across the different reconstructed images. For 177Lu imaging, the 113 keV imaging of the V200 and V400 systems demonstrated strong performances in both image quality and quantification, while StarGuide and V400 systems offer even better potential due to their ability to exploit signals from both the 113 and 208 keV peaks. 177Lu quantification was optimized according to RCmax for all cameras and reconstructions (1.07 ± 0.09—Ø37 mm).ConclusionsThe three cameras have equivalent potential for 99mTc imaging, while StarGuide and V400 have demonstrated higher potential for 177Lu. Dedicated visual or quantitative reconstructions offer better specific performances compared to the unified visual/quantitative reconstruction. The task-based approach appears to be promising for in-depth comparison of images in the context of system characterization/comparison and protocol optimization.

Information and Technology Governance Capability Analysis Using COBIT 2019: Case Study of CV Wirelessindo

The implementation of IT supports company sustainability. Large companies use IT as an integral part of their business model. Digital strategies must align with business strategies to achieve sustainability. Wirelessindo, established in 2007, provides IT solutions such as equipment, site surveys, network design and security, and tower installations. Its mission is to increase company productivity to win the competition in the era of Industry 4.0. IT is used to enhance customer service and internal business process efficiency. Initial investigations found issues with IT function mismatches, financial losses due to data loss, errors in IT equipment installation and configuration, and business process incidents caused by emerging risks. Identified root problems include employee knowledge gaps, risk management disparities, errors in defining business needs, and change management gaps. Based on these findings, IT governance evaluation was chosen as the research focus. This study aims to provide an overview of CV Wirelessindo IT capability levels and recommendations for improvements to meet expected levels. COBIT 2019 were used in this study. The General Manager, IT Division Manager, Software Development Team, Network Monitoring Team, Project Manager, and HR Manager were selected as respondents based on the Responsible, Accountable, Checked, Informed chart guidelines. Of the nine selected objectives, BAI08 showed level 0. APO12, BAI02, BAI06, BAI07, and DSS01 showed level 1. APO07, BAI10, and DSS03 showed capability level 2. Therefore, 61 recommendations were provided to raise the IT governance capability level to level 3 for all objectives.

Refining the Scrum Paradigm: A Comprehensive Study of Software Development Practices (2020-2023)

This article presents a complex vision on software production practices aimed at enhancing the Scrum methodology within software project management. The recommended best practices are closely aligned with contemporary trends in the IT sector, including the total digitalization and virtualization of production processes, the transition to fully remote software development models, the incorporation of artificial intelligence technologies, and the implementation of cost-effective models in team organization. The modifications to software production processes discussed herein are grounded in research conducted between 2020 and 2023, encompassing insights from leading Russian, European, and global IT companies. This research underscores a significant transformation in IT business practices, reflecting a shift towards new benchmarks for Scrum team efficiency. These benchmarks emphasize the data-driven formalization of production models, automation facilitated by AI tools, and noticeable cost optimization within engineering teams, which collectively align with the evolving demands of the modern IT landscape. The article details a series of management strategies designed to adapt to these shifts, including the formalization of sprint goals and processes within Scrum, management of technical debt, and the cost-efficient organization of development teams.

NEW TRANSLITERATION PROGRAM “COTOGWA” DEVELOPMENT

Abstract. The purpose of the work is to develop a program for transliteration and refactoring of mechanically typed text “CotoGwa”. A literary analysis of the research problem is presented. The choice of ways, technologies and means of solving the task is substantiated. The functional and structural scheme of the program is substantiated. The process of developing a software product is highlighted. Comparative characteristics of analogues are carried out and their shortcomings are described. The advantages of the developed product are defined too. The software development model and used scientific research methods are justified. The practical application of the created product is described step by step. Testing and debugging of the program is described. Considering the implementation of the software, the architectural solutions and technologies used in the project were analyzed. The program takes into account the needs of users and can be easily extended to provide additional functionality thanks to the flexibility and extensive functionality of the C# programming language. In the future, the development of the program will include additional options to create even greater convenience and speed of use by users. Taking into account feedback from users can contribute to the further development of this software in the field of text printing. In general, the development makes it possible to efficiently and conveniently enter and edit text, reducing time spent on additional printing principles and facilitating routine tasks for users.

Modelling and simulation in sim 3D software of a solar hybrid cell to using in PV power integration

A photovoltaic cell converts solar energy into electrical energy thanks to the photovoltaic effect. This technology is widely used in land and space applications. Many studies are being carried out to improve the models of these cells and for the proper functioning and to bring them to their maximum potency to be obtained. In this article, we present our photovoltaic cell model and for this we choose a GaAs-based pin cell, our studies carried out at the equilibrium of this cell. We used all our calculations on the SIM 3D simulator carried out in the “Component modelling and circuit design” team. This software is designed to study low geometry design components and to determine the volume of a structure, potential distributions and free carrier densities. The SIM 3D is under development by a group from the Mohamed Tahri University of Bechar. Algeria. We will present our photovoltaic cell model and our SIM 3D software development.

Machine Learning Applications in Salesforce CPQ Transforming Sales

This paper aims to understand the innovative disposals of machine learning applications on Salesforce Configure, Price, Quote (CPQ) applications more precisely how these innovations are revolutionizing software development. Salesforce CPQ is an ideal solution for organizations that want a modern tool to help them with their sales processes, and adding machine learning elements significantly improves the system. For example, the study analyses different cases where and how machine learning algorithm is utilised in the application of the following areas: pricing strategy, product configuration and sales forecasting. Upon collection of historical data, machine learning models are able to make computations of patterns that enables businesses to make quick analysis of the best strategies to use in an offer of various prices to the customers in an effort to enhance customer satisfaction. Furthermore, the application of I/A in the context of CPQ decreases the time engaged in manual configurations, liberating software development teams to work on other priorities essentially. These difficulties and strategies are enumerated in the paper: data quality issues and the impossibility of the Machine learning successful implementation without cooperation with other departments, specifically with Salesforce CPQ teams. In addition, it shares its vision on the tendencies in application of machine learning in CPQ systems with reference to software development paradigms. Finally, the scope of this research is as follows: The study will examine how the utilization of machine learning applications in Salesforce CPQ has changed traditional software development practices in today’s dynamic market environment by increasing efficiency and accuracy effectively, improving competitiveness within the market.

Estimating the design parameters of a space-based radio surveillance system

Currently, small spacecraft with both optoelectronic and radar imaging equipment are becoming increasingly common. The purpose of the work is to improve the efficiency of preliminary assessment of achievable characteristics of radio surveillance payloads at the initial stages of design of small spacecraft. The paper describes the advantages of using radar imaging equipment, as well as the main trends in its development. The main areas of application of spacecraft with radar of different frequency ranges are given; the advantages of each frequency range are described. The methodology of determining the parameters of the trajectory signal when the platform moves in a circular orbit, taking into account the assumptions associated with estimating the size of the irradiation zone in azimuth is considered. Based on the considered methodology, a program is developed in Python programming language that makes it possible to estimate the length of synthesized aperture, synthesis time and azimuthal resolution of the target equipment on the basis of mass and dimensional characteristics of the antenna and spacecraft orbit parameters. A graphical user interface has been developed for the program which allows the user to interactively vary the initial data for calculation and evaluate the graphical representation of the result. The developed software system can be used for calculation of the main design parameters of small spacecraft with radar imaging equipment at the preliminary design stage.

Health IoT Threats: Survey of Risks and Vulnerabilities

The secure and efficient collection of patients’ vital information is a challenge faced by the healthcare industry. Through the adoption and application of Internet of Things (IoT), the healthcare industry has seen an improvement in the quality of delivered services and patient safety. However, IoT utilization in healthcare is challenging due to the sensitive nature of patients’ clinical information and communicating this across heterogeneous networks and among IoT devices. We conducted a semi-systematic literature review to provide an overview of IoT security and privacy challenges in the healthcare sector over time. We collected 279 studies from 5 scientific databases, of which 69 articles met the requirements for inclusion. We performed thematic and qualitative content analysis to extract trends and information. According to our analysis, the vulnerabilities in IoT in healthcare are classified into three main layers: perception, network, and application. We comprehensively reviewed IoT privacy and security threats on each layer. Different technological advancements were suggested to address the identified vulnerabilities in healthcare. This review has practical implications, emphasizing that healthcare organizations, software developers, and device manufacturers must prioritize healthcare IoT security and privacy. A comprehensive, multilayered security approach, security-by-design principles, and training for staff and end-users must be adopted. Regulators and policy makers must also establish and enforce standards and regulations that promote the security and privacy of healthcare IoT. Overall, this study underscores the importance of ensuring the security and privacy of healthcare IoT, with stakeholders’ coordinated efforts to address the complex and evolving security and privacy threats in this field. This can enhance healthcare IoT trust and reliability, reduce the risks of security and privacy issues and attacks, and ultimately improve healthcare delivery quality and safety.