Agile Model Research Articles

КОМБІНОВАНА МОДЕЛЬ ПРОЦЕСУ РОЗРОБЛЕННЯ АПАРАТНО-ПРОГРАМНОГО МОДУЛЯ ОБРОБКИ ДАНИХ СТУДЕНТСЬКОГО НАНОСУПУТНИКА CUBESAT

The CubeSat nanosatellite concept has been a game-changer in the field of space science research and the development of cutting-edge space technologies. The primary factors for their success are low cost, relative simplicity of production, and predictable lifecycle. CubeSats are highly important for preparing future engineers: bachelor's and master's students of aerospace universities. Therefore, the use of CubeSats is a cost-effective way to explore near space and conduct scientific work. However, there are many issues related to the effective development of software, ensuring software quality at the system level, maintenance, and reuse of software code. The advantages and disadvantages of both classical and modern agile (Agile) software development lifecycle models are considered. To enhance flexibility and reduce the complexity of CubeSat projects, a combined model for the development of a hardware-software data processing module is proposed, which combines the advantages of two models: the waterfall model for hardware development and the agile model for software development. For a comprehensive assessment of the combined model of the data processing hardware-software module development process, the SWOT analysis methodology is used, which is a popular strategic planning tool. For its implementation, the strengths and weaknesses, external opportunities, and threats of the combined model of the data processing hardware-software module development process were formulated. The proposed combined model will allow student teams with limited experience to develop hardware-software data processing modules with minimal risks, ensuring code reuse and increasing the attractiveness of student CubeSat projects.

Data Modeling Essentials: Techniques, Best Practices, and Future Trends

Data modeling, in essence, is based on the process of data structuring and organization to effectively handle, analyze, and make informed decisions across organizations. This paper reviews the major concepts and methods significant for modern data architecture in "Data Modeling Essentials: Techniques, Best Practices, and Future Trends.". We start by considering the base techniques, namely Entity-Relationship and Dimensional modeling, and look into their applications in operational and analytical data systems. The paper also covers more advanced topics that include Data Vault modeling for agile data warehousing and NoSQL modeling to accommodate unstructured and semi-structured data, increasingly important in today's big data era. The paper also gives an overview of best practices in developing scalable, flexible data models: stakeholder communication, documentation, and the use of automation tools in accelerating model development and consistency. Data quality, adherence to regulations, and alignment of models with business objectives are among the practices identified as crucial in today's fast-moving data environments. New trends are taking precedence, and data modeling is continuously evolving. We will review the rise of AI- assisted data modeling, graph database structures for highly interconnected data, and model-driven development to accelerate system deployments. This paper examines actionable insights for data professionals, IT teams, and business leaders on how to design robust, agile models that improve the quality of data, enhance decision-making, and foster innovation in an ever-changing data ecosystem. Keywords Data Modeling, Entity-Relationship (ER) Modeling, Dimensional Modeling, Data Quality, Scalable Data Models, Model Driven Development (MDD), Data Management, Structured & Unstructured Data, Future Trends in Data Modeling.

Agile Software Development with Secure and Scrum-Centric Approach

The fulfillment of agile models is crucial for ensuring that a software development project's tasks are completed efficiently and collaboratively. The definitions of the project architecture are usually performed in these models. Factors such as delivery time, cost and maintenance are determined. In traditional methods, project stages are carried out sequentially. After one of the stages is completed, another one is performed. When an innovation or change is attempted at any point in the project, some problems occur. These problems can generally be solved with Scrum agile methods, where communication is highlighted and processes are performed more flexibly. It is an undeniable fact that Scrum and security issues can be brought together when incorporating the Scrum strategy into software development models. In such a case, models are used that allow Security and Scrum to work within a framework. In this study, scientific studies based on scientific evidence aimed at eliminating incompatibilities in software development systematics were analyzed. The distribution of the publication years, the relation of scrum and security, the citation topic, the bibliometric maps and co-citation report are used in these analysis. In the result of these analyses, bibliometric and statistical analysis results of studies in the literature on software development that includes security principles with the Scrum model were revealed. When the results obtained in the experiments were examined, it was concluded that it was possible to develop secure software with an architecture in which Scrum and Security models were used together. During the software development phase, it enables proactive risk management by blending scrum and security elements. It also allows teams to detect security vulnerabilities during the software development phase. These facilitate the creation of a more secure and durable software product.

Co-designing transport models as a heuristic planning tool.

Recently the transportation sector has witnessed several new technologically driven disruptions that have amplified the complexity of city planning and policymaking. Traditional well-established processes of decision-making in urban planning and transportation are proving insufficient to deal with this degree of complexity and uncertainty. This paper proposes an alternative approach, combining qualitative and normative urban design, with quantitative and predictive transport modelling. This requires urban designers and transport modellers to co-create goal-driven and agile transport models that act as a heuristic tool to guide planning decisions in early design stages. Heuristic modelling is informed by design optioning and vice versa in an iterative loop. A case study is presented to demonstrate how this approach is operationalized to study the impacts of automated vehicles on urban planning. Design workshops are used as a method to elicit responses from stakeholders, which are used to co-create the simulation models. This collaborative process grounds the research in real-world practice and enhances the communication of design proposals and research findings across disciplines. By integrating design thinking methods with agent-based transport simulations, this approach provides a better understanding of emergent effects in complex urban systems and improves stakeholder engagement in the planning process.This article is part of the theme issue 'Co-creating the future: participatory cities and digital governance'.

Integrating the Software Development Lifecycle into Work-Integrated Learning:

Work-integrated learning is crucial for student development, providing hands-on experience in industry placements or project-based learning at higher educational institutions. This article evaluates the impact of adopting a Software Development Lifecycle (SDLC) process in work-integrated learning software development projects at a University of Technology. Comparing two student projects, the waterfall model resulted in substandard conversion between class diagrams and route classes, while the agile model allowed frequent reviews and modifications, resulting in alignment between class diagrams and route classes. The key difference was the absence of clear directional indicators and comprehensive descriptions of class relationships. It is recommended that students adopt an appropriate SDLC model that meets their specific project needs within a work-integrated learning environment.

Towards the estimation of ESG ratings: A machine learning approach using balance sheet ratios

Despite the persistence of methodological inconsistency and uncertainty, ESG ratings are useful for assessing Environmental (E), Social (S), and Governance (G) risk, individually and as a system (ESG). The ESG rating class is the only investment selection parameter that measures asset class sustainability. This paper tests whether a selected set of balance sheet variables and a dynamic measure of systemic risk, observed at time t, have information content useful to identify a firm’s ESG rating class of at time t+1. Using EuroStoxx 600 firms for the period 2016–2021, we apply a Machine Learning (ML) model. Specifically, a Random Forest (RF) classification model estimates the ESG rating at time t+1 with unprecedented accuracy in the international literature. This agile and parsimonious model offers important information to the sustainable investor for making strategic investment decisions and paves the way for ESG rating estimation for unlisted companies and SMEs.

Antecedents of entrepreneurial resilience in regions: A systematic literature review

Entrepreneurial resilience in regions is essential for enabling the entrepreneurial ecosystem to overcome natural disasters, catastrophes, wars, and various crisis situations it may face. However, this phenomenon has been underexplored in the literature despite its critical importance for business development, and consequently, for social progress. Therefore, the objective of this article is to conduct a systematic literature review to identify the antecedents of regional entrepreneurial resilience in situations of adversity. To achieve this goal, a qualitative, descriptive research approach was employed. Specifically, a systematic literature review was carried out following the PRISMA method, which included a total of 231 scientific articles retrieved from high impact journals. Of these, only 12% (27 documents) focused on regional entrepreneurial resilience. Five key antecedents of regional entrepreneurial resilience were identified: action orientation, the region’s historical precedents, opportunity exploitation, collaboration, resources, and preparedness. Additionally, it is suggested that future research should focus on understanding the impact of crises, identifying agile response models to crises, defining roles for each member of the entrepreneurial ecosystem to achieve economic recovery in regions, and analyzing the design of public policies that contribute to overcoming adversity. The study concludes that when a region is resilient, it is more likely to overcome crises and adversity.

Cyberverse: A Game-Based Learning Application for Cyber Security

Abstract: Games are becoming more frequent in educational settings, and various technologies have been established to meet the needs of designing an education as a game. Aside from education, game-based learning is rising in popularity in various areas, including professional development and networking sites. By incorporating gaming components into the training process, educational platforms that use games will increase student engagement, motivation, and productivity. One of the most defining characteristics of game-based learning environments is their ability to produce innovative and engaging learning experiences (Gee, J. P. 2020; Hamari, J., et al 2021). Games-based learning integrates instruction with authentic gaming experiences. Scientific and popular interest in severe goal games has increased tremendously (Huang, W. H.-Y. et al. 2021; Kapp, K. M. 2020; Zhang, Y. et al. 2023). Cybersecurity refers to the practice of protecting systems, networks, and programs from digital attacks, damage, or unauthorized access. With the increasing reliance on technology and the internet, the significance of cybersecurity has grown tremendously. It encompasses various measures, including: Threat Prevention, Incident Response, Data Protection, Awareness and Training and Compliance (Kshetri, N. 2021; Stallings, W., et al 2022; Kaspersky, E. 2020). Cyber security occupies a major part of society today. Cyber security educational games are a popular form of hands-on exercises that use gamification to train information security skills and enhance cyber security awareness. The objectives of the game application are to (1) create awareness of the necessity of the importance and function of cyber security such as password security, phishing awareness, identity theft, encryption, and network security among others. (2) to distinguish between the various topics of cyber security while playing the game application (3) to determine the evaluation tool to use in the assessment of the cognitive abilities of gamers. A quantitative research design was used to determine the process of the application while the Agile model is commonly used in game development due to its iterative and flexible nature. Technical Aspect which is the ISO 25010 and Game Aspect Method was used for the Evaluation with 60 respondents. The study can identify the genders of the respondents as male and female. The mechanics of the game can make the gamers use and test their knowledge about cyber security. Evaluation results of gamer respondents show the average mean of both males and females are interpreted as "Strongly Agree". This means that they strongly agree that cognitive abilities are used when playing the application. Meanwhile, evaluation results of technical respondents' average mean for both males and females are interpreted as also "Strongly Agree". This means that they strongly agree on all the technical aspects of the application. Overall, evaluation results of all respondents whether gamer or technical are interpreted as "Strongly Agree".

RESPONSE OF LIQUID MANURES AS ALTERNATIVE NUTRIENT ON GROWTH AND YIELD OF TOMATO

This research explores the transformative role of advanced technologies, particularly AI, machine learning (ML) and block chain, in the development of smart e-commerce solutions that enhance user experiences and operational efficiencies. It also explores how customized algorithms can improve customer engagement, boost conversion rates and encourage sustainable shopping practices. Additionally, the research investigates AI-driven solutions to encourage sustainable shopping behaviors and optimize shopping post-purchase experiences. Specifically, it aims to assess the impact of AI-based personalization algorithms, examine the trade-offs between data privacy and user experience and analyze AI's influence on consumer trust and decision-making processes. Primary data from surveys and interviews are supplemented with secondary data on customer behavior and sales metrics to evaluate the effectiveness of technologies like AI, machine learning and block chain in driving personalized, ethical and efficient e-commerce. A mixed-method research design, combining qualitative and quantitative approaches, employed to capture insights from key stakeholders (e.g., consumers, developers and e-commerce managers) and assess the impact of smart e-commerce platforms on shopping behavior, trust and loyalty. Implementing the Agile Model, the research iteratively addresses system requirements, testing and deployment challenges to create a flexible, scalable solution. Key findings underscore the role of predictive modeling in inventory management, the ethical potential of sustainable product recommendations and the positive consumer responses to transparency initiatives. The study contributes valuable insights into the development of secure, personalized and ethical e-commerce platforms that align with modern consumer expectations for convenience and responsibility.

ІНКРЕМЕНТНИЙ ПІДХІД ДО ПЛАНУВАННЯ РОБОТИ СТУДЕНТІВ НАД СПІЛЬНИМ ПРОГРАМНИМ ПРОЄКТОМ

As of today, well-known product and outsourcing IT companies use Agile models for the software development life cycle (SDLC), the advantages of which include rapid adaptation to changes, continuous feedback, improved product quality, increased team engagement, focus on customer value, transparency and control, as well as the reduction of internal and external risks. All Agile models are iterative, meaning the development process is divided into separate, similar iterations, which have different names in different models. Familiarization with and practical application of modern Agile models by students at the first (bachelor’s) level of higher education in the field of information technology is an important task for future IT specialists. To achieve this task, the most popular Agile model, Scrum, was chosen, which is also incremental, meaning that each iteration delivers additional functionality that is ready for use. The main roles of participants and their responsibilities, artifacts, and ceremonies of the Scrum process are reviewed. The article proposes applying the Scrum model for iterative and incremental software development that will solve a multi-criteria optimization problem using a game-theoretic approach. The formulation and general algorithm for solving the multi-criteria optimization problem using a game-theoretic approach are presented, as well as an example of formulating the Product Backlog, which contains twelve functional requirements to be implemented by the student Scrum team over twelve iterations (sprints). The recommended process for dividing students into Scrum teams and assigning roles to participants is described. An example of incremental implementation based on the Scrum model of the SDLC for solving the multi-criteria optimization problem using a game-theoretic approach is also provided.

The Effect of Cultural Norms on Group Decision-Making in Japanese Corporations

This paper explores the impact of cultural norms, particularly collectivism and social harmony, on group decision-making practices in Japanese corporations. Focusing on consensus-building mechanisms such as nemawashi and ringi-sho, the study examines how these practices foster inclusivity, mitigate conflict, and promote long-term organizational stability. It also highlights the challenges posed by slow decision-making processes and the risk of groupthink, which can stifle innovation and agility in a fast-paced global market. While consensus-building leads to more widely supported and risk-averse decisions, the paper suggests that balancing these traditional practices with more agile decision-making models is essential for Japanese corporations to remain competitive. The findings provide valuable insights into how Japanese firms might integrate global business practices while preserving their cultural identity.

Indang Konektayo Kiosk: An Interactive Menu System for Tourists

Every traveler wants to experience hassle-free and safe travel while maintaining an enjoyable journey with the help of user-friendly interfaces and an innovative technological menu system. An interactive information menu system that improves the traveler experience, commercial operations, and tourism information at the Municipality of Indang. It is a technological solution that is relevant to today's demand and interest, and that is readily available data sources and information, which benefit. Specifically, it possesses the following characteristics, including: (1) a place finder that provides registered places in Indang with the right information and allows users to discover new established places in Indang; (2) mapping routes that provide directions and generate routes; and (3) sending the Google Maps URL through a short messaging system (SMS) to the mobile phone of the user, which can be opened in digital maps such as Google Maps. The descriptive method of research was used in this study and was created with Cascading Style Sheet (CSS), Hypertext Markup Language (HTML), Hypertext Processor (PHP), JavaScript (JS) in web development, MySQL for its database, as well as an SMS API for sending map URLs based on the queries. The Agile software model was used, which was composed of sprints, each of which was meant to focus on the developmental adjustments as interactive kiosks were prone to updates and ran into serious changes. Using ISO 9126 software product quality standards, the system received an average rating of 4.71 from respondents, indicating excellent quality and that it served its functions properly and met all of the required requirements.

Impact of Critical Success Factors on Productivity Gain during Automation Testing

Software testing, a linchpin of quality assurance in software development, encompasses both manual and automation approaches. While manual testing ensures meticulous scrutiny, automation accelerates efficiency, reducing time and costs in dynamic landscape of software development. This research investigates the impact of critical success factors on productivity gain in software testing, with a focus on automation, within CMMI Level 5 companies. Drawing from a dataset comprising thirty real-time projects spanning banking, retail, and industrial applications, study explores dynamics of software development under agile and waterfall models. Interviews with developers and testers reveal insights into key aspects influencing productivity, including skills, experiences, and training. Emphasizing the need for strategic automation in projects subject to changes and maintenance, the research analyzes over thirty projects, scrutinizing variables such as manually designed test cases, execution time, and subsequent automation of test cases. Strategic selection of test cases for automation emerges as a cost-efficient practice. Results highlight a correlation between manual and automated test cases, indicating productivity gains. Research introduces a productivity gain metric, showcasing a break-even point where automation significantly reduces testing time. Overall, the findings offer a comprehensive understanding of software testing within CMMI Level 5, guiding organizations toward efficient automation practices and improved productivity.

Digital transformation and social change: Leadership strategies for responsible innovation

The intersection of digital transformation and social change presents a complex landscape for contemporary business leaders. This study explores the experiences of managers from innovative start-ups in Italy, focusing on their strategies for responsible innovation. Through in-depth interviews, key challenges such as rapid technological change, scalability issues, and ethical considerations are identified. The findings highlight the importance of continuous learning, agile business models, and stakeholder engagement. Future scenarios, including the rise of tech-driven social enterprises and decentralized systems, are discussed, emphasizing the need for collaborative partnerships. This research provides practical insights for integrating technological advancement with societal impact.

In pursuit of precısion: assessing the impact of physical attributes on change of direction speed ın women's cricket

Cricket demands a unique blend of athleticism, strategy, and precision, with physical fitness crucial in achieving sports excellence. While previous research has highlighted the importance of physical attributes such as speed, explosive power, and agility, the complex interactions between these factors about change of direction speed (CODS) still need to be better understood. This study investigated the relationship between CODS and key physical measures among female cricket players, providing insights into the factors influencing athletic performance in cricket. Thirty female cricketers (aged 16-26 years) participated in the study, undergoing assessments of CODS, speed, vertical jump, and broad jump. Statistical analyses, including Pearson correlation coefficients, multiple regression analysis, and ANOVA, were employed to examine the relationships between these physical measures and CODS. Reliability was deemed to be poor (<0.3), moderate (0.4<0.6), and strong (0.7≤) based on prior research. Significant positive correlations were observed between agility and acceleration and maximal speed tests, underscoring the importance of speed in cricket performance. Furthermore, moderate to strong negative correlations were found between CODS and explosive lower body power tests, highlighting the significance of lower body explosiveness for rapid directional shifts in cricket. Regression analysis revealed that speed, broad jump, and vertical jump collectively contributed to a strong predictive model for agility. Enhancing speed, explosive power, and agility through targeted training interventions could improve cricket players' on-field performance and competitive edge. Overall, this study contributes to understanding the complex interactions between physical attributes and cricket performance, offering practical insights for player development and strategic improvement. Key Words: Change of Direction Speed; Physical Attributes; Explosive Power; Agility

Innovate! Accelerate! Evaluate! Harnessing the RE-AIM framework to examine the global dissemination of parenting resources during COVID-19 to more than 210 million people

BackgroundParents were at the forefront of responding to the needs of children during the COVID-19 pandemic. This study used the RE-AIM framework to examine the Reach, Effectiveness, Adoption, Implementation, and Maintenance of a global inter-agency initiative that adapted evidence-based parenting programs to provide immediate support to parents.MethodsData were collected via short surveys sent via email, online surveys, and analysis of social media metrics and Google Analytics. Retrospective surveys with 1,303 parents and caregivers in 11 countries examined impacts of the resources on child maltreatment, positive relationship building, parenting efficacy, and parenting stress.ResultsThe parenting resources were translated into over 135 languages and dialects; reached an estimated minimum 212.4 million people by June 2022; were adopted by 697 agencies, organizations, and individuals; and were included in 43 national government COVID-19 responses. Dissemination via social media had the highest reach (n = 144,202,170, 67.9%), followed by radio broadcasts (n = 32,298,525, 15.2%), text messages (n = 13,565,780, 6.4%), and caseworker phone calls or visits (n = 8,074,787, 3.8%). Retrospective surveys showed increased parental engagement and play, parenting self-efficacy, confidence in protecting children from sexual abuse, and capacity to cope with stress, as well as decreased physical and emotional abuse. Forty-four organizations who responded to follow-up surveys in April 2021 reported sustained use of the resources as part of existing services and other crisis responses.ConclusionThis study highlights the importance of a) establishing an international collaboration to rapidly adapt and disseminate evidence-based content into easily accessible resources that are relevant to the needs of parents; b) creating open-source and agile delivery models that are responsive to local contexts and receptive to further adaptation; and c) using the best methods available to evaluate a rapidly deployed global emergency response in real-time. Further research is recommended to empirically establish the evidence of effectiveness and maintenance of these parenting innovations.

The Role Of StartupsIn Driving Sustainable Innovation

The following paper discusses the critical role that startups can play in driving forward sustainable innovation. At a time when environmental concerns top the world agenda, startups have taken the lead in pioneering new practices in sustainability and developing new solutions challenging conventional methods. It investigates how, at their nascent stage, these companies can use unique strategies, disruptive technologies, and agile business models to lead the charge toward sustainability. Drawing on case studies from a variety of industries, it points out exactly how startups tackling environmental challenges—from reducing carbon footprints to resource efficiency and circular economies— do so. The analysis stresses that this kind of startup does more than just innovate; it sets new trends within the market and consumer expectations. It also critically evaluates the extent to which established businesses could learn from or integrate these practices. It thus points out barriers and opportunities for traditional companies to adopt similar strategies, while discussing best practices for implementing a culture of innovation that has sustainability at the top of the list. The insights provided in this paper help to bridge the gap between innovative startups and established enterprises by giving actionable recommendations of how the most cutting-edge sustainability practices can be integrated within broader corporate frameworks. By borrowing from what works in startup successes, established companies can enhance environmental stewardship toward a more sustainable future. The paper seeks to explore in detail how startups are really triggering a transformation in sustainable innovation and to inspire established business players to engage in these pioneer approaches

Supply chain integration capability: A three-stage circular model of visibility, agility, and flexibility

This paper presents supply chain capabilities in a three-stage circular model. Different from most studies exploring supply chain integration (SCI) from the perspective of processes, this paper studies SCI from a holistic approach. By applying dynamic capability view (DCV), this study develops a measurement of SCI capability based on the three-stage circular model. The scale items were drawn from existing literature. A survey study gathered 187 responses from firms in New Zealand. Factor analysis was conducted to validate the measurement of supply chain integration in the New Zealand businesses. The paper defines the SCI capability as a second-order construct including several well-studied dynamic capabilities such as visibility, agility, and flexibility. The three-stage circular model enables firms to learn, response, and reconfigure to achieve rapid continuous improvement in supply chains. This paper provides new insights and practical implications in SCI and supply chain capability studies and practices in the Industry 4.0 era.

A LOG MANAGEMENT SYSTEM (LMS) FOR ADMINISTRATORS, EMPLOYEES, STUDENTS, AND VISITORS

This thesis introduces a QR Code-based Log Management System (LMS) for St. Peter's College, replacing manual logging with a web-based platform. The LMS enables users to scan QR Codes, eliminating log books and improving accuracy. It automates administrative tasks, recording timestamps, user information, vaccination status, and enrollment status. Utilizing QR Code technology sets this study apart from similar systems that use RFID. QR Codes are costeffective and convenient for identification. The LMS integrates QR Codes into identification cards for administrators, employees, and students, while visitors can generate QR Codes through the web application. Additional features include uploading vaccination cards and Certificates of Registration (COR) for verification. Developed using the Django framework, the LMS provides a secure and rapid development platform accessible via standard web browsers. Its implementation improves data collection accuracy, facilitates contact tracing, and enhances safety through SMS notifications. This thesis contributes to the digital transformation of administrative processes in educational institutions, streamlining operations and improving data management. The researchers employed the Agile Model for development, allowing for continuous feedback and adaptation. This approach ensured the LMS met St. Peter's College's specific requirements. To assess usability, the Technology Acceptance Model (TAM) was used, evaluating factors like ease of use and user satisfaction. The combination of the Agile Model and TAM offers a comprehensive approach to designing and implementing the QR Code-based Log Management System, aligning it with the needs and preferences of St. Peter's College.

SCI-AR: ENHANCE SCIENCE LEARNING THROUGH AUGMENTED REALITY

This research work is focused on development of a mobile augmented reality application, for use in helping kids with learning problem in science class. Science per se has inherent features that are abstract in nature, thus complicating the processes of learning and at the same time giving a negative outlook towards science. In this regard, the application has the use of graphics and symbols combining with the use of AR that enhances understanding and leads to involvement of students. It can be on Android OS for mobile phones with Unity3D and ARFoundation/ARCore as the development tools. Acceptance of consumer Credit has used the Technology Acceptance Model for developing its theoretical modelling of prediction. In making the system, the development model of Agile Methodology Model has been adopted. This study tries to apply a new approach that enhances the learners’ motivation and confidence in science learning without pre-empting any other teaching strategy. As for the application of a mobile and graphically augmented reality, it raises a lot of potential for improvement of science learning for children with certain learning difficulties in this new, interactive type of format.