Software Process Research Articles

An Assessment Mechanism for Integrated Software Sustainability Evaluation Model via Evaluation Theory

Evaluation of software sustainability aids in decision-maker’s identification of the specific actions needed to guarantee sustainability for current and future generations. The prior approach to assessment focused on how the business environment was changing and using the high-quality software sustainability evaluation model (SSEM) affected those changes. Numerous well-established quality models, concepts, and understandings impacted on SSEM trends. These act as frameworks for developing software evaluations, the outcomes of which are applied to the assessment of generic software procedures. Therefore, this research aimed to use Evaluation Theory (ET) to create an assessment mechanism for an integrated Software Sustainability Evaluation Model (i-SSEM). This model encompasses evaluation criteria, targets, assessment processes, data-gathering techniques, synthesis techniques, and yardsticks. Nine criteria are presented in this study to evaluate software sustainability encompassing functional adequacy, dependability, performance efficiency, usability, security, compatibility, maintainability, portability, and impactibility. The use of the Quality Function Deployment (QFD) methodology, effectively classifies the recommended criteria into sustainable dimensions. A Goal Question Metric (GQM) is used to establish the software criteria by precisely specifying the aim, perspectives, and viewpoints of an evaluation of the sustainability aspects. By highlighting the unique evaluation mechanism for software products and processes and utilizing both quantitative and qualitative measurement techniques, this model improves the current SSEM.

Optimising the Economic Feasibility of High-Speed Maglev Systems: A Simulation-Based Approach for Variable and Parameter Analysis

This study introduces an advanced software platform and process for the quantitative national economic evaluation of high-speed maglev systems, overcoming limitations of traditional methods through parameter variation experiments and automated solution search. Utilising the adapted German standardised evaluation, this research demonstrates how integrated modelling, evaluation and optimisation software can deeply analyse the impact of various variables and parameters on economic outcomes. By employing an optimisation algorithm, the software not only determines critical evaluation parameters to ensure benefits exceed costs but also deduces optimised model variables. The macroeconomic benefit-cost ratio guides the optimal design concept, with the research finding a critical value for ensuring economic feasibility. The proposed solution achieves a 22% improvement in this ratio (1.106 vs. 0.909) compared to the existing Hefei-Wuhu route, highlighting its potential for large-scale maglev implementation. Future development directions include integration with micro-simulation systems, support for random behaviour, sensitivity analysis, data-driven machine learning and enhanced user interface design for broader applicability. The findings underscore the software’s capability to provide robust, data-driven insights for economic feasibility studies of high-speed maglev systems, presenting a significant step forward in infrastructure project evaluation.

Collaborative development of open-source outbreak detection tools: Needs, concept and implementation

Abstract Issue The early detection of infectious disease outbreaks through surveillance is critical to initiate targeted public health interventions. Automated outbreak detection helps to identify trends and unusual events. Yet, there is no overview of how many EU countries use outbreak detection systems and what factors hindered their implementation. Description of the problem One aim of the Joint Action UNITED4Surveillance (U4S) is to identify EU countries’ requirements for outbreak detection, and based on these, develop and deploy a tool for the timely and accurate detection of outbreaks. Through surveys, interviews and an in-person workshop involving public health experts, we identified uses cases, collected functional and technical requirements for a tool. Subsequently the tool development started in August 2023 as an open-source software process on GitHub. Results Despite high interest, only three of the 21 countries that took part in the survey have implemented outbreak detection tools, even though national surveillance systems offer the potential for their use. Reasons for this are limited resources and low prioritization. Experts identified gastrointestinal diseases as one major potential use case and emphasised the necessity of flexible outputs. Tailored to these requirements, data scientists from five European public health institutes developed an open-source R package for signal detection. The tool generates signals based on national surveillance data and enables the user to analyses these results using a dashboard with flexible exploration and generation of a report. The tool is now being piloted locally by ten European public health authorities and its use will be evaluated. Lessons There is a need to use automated outbreak detection tools for routine surveillance of infectious diseases in EU countries but often lack resources. Projects like U4S can bring together expertise to build sustainable tools and supporting material that can address the identified needs. Key messages • Collaborative and open-source development leads to tools that are well tailored to the needs of the community and foster a high uptake in the usage of these tools. • The tool enhances surveillance and outbreak detection in countries without the capacities to develop and implement outbreak detection methods for their surveillance systems.

Contributions to Systems Software and Service Process Improvement and Innovation Based on Recent Advances

Contributions to Systems Software and Service Process Improvement and Innovation Based on Recent Advances

Цифровизация закупочного процесса как элемент управления медицинской организации

In modern conditions, digital technologies are penetrating into all spheres of life, and the healthcare industry is no exception. It is not individual medical services that compete in the market, but financial models. Therefore, those medical institutions that are able to quickly search, test and implement appropriate changes win. Digitalization tools and approaches help you learn to speak the language of value that is created for different target audiences, and regularly update the financial model of a medical institution. A significant stage in the activities of a public health institution is the procurement process. The purpose of the study is to identify the main aspects of building the procurement process of a public health institution through the prism of digitalization of this process within a medical institution. Materials and methods. The study includes the identification of factors that must be taken into account when forming a model of the procurement process; the stages of creating a digital model of the procurement process; the principles of implementing the procurement process project; substantiation of design decisions on information and software for the procurement process of a public health institution; the stages of developing an information system. Methods of structural, functional, information process, causal analysis and modeling are used. Results. The paper identified the main problems associated with the procurement process in medical institutions, including shortcomings in the regulatory framework, the lack of a clear distribution of responsibility between the participants in the process and the inefficiency of management decisions. To improve procurement monitoring and management, a proposal has been developed to optimize the procurement process through the use of digital technologies. Conclusions. The conducted research made it possible to identify the optimization of the procurement process in public medical institutions, which is associated with the use of a digital model of the procurement process. The scope of the results. The results of the work can be used in public medical institutions of various levels to develop and implement a system of digitalization of procurement activities within a medical organization. And also, when optimizing the procurement process in public medical institutions, when using a digital financial model of the procurement process, which has a number of beneficial advantages.

Применение имитационного моделирования в процессах постройки судна

This article provides an example of the application of the method of simulation modeling of ship construction processes in AnyLogic software. The process is briefly described and the logistics of building a barge produced at shipyards is characterized, and a map of the production process is prepared. In conclusion, three possible modernization options were proposed, which consist in technological, organizational improvements and a variant combining both of these solutions. AnyLogic software was used for a comparative analysis of the proposed options in relation to the process in the basic version. This method allows you to obtain accurate data for making informed decisions without the need for physical tests. The use of simulation modeling is a key tool for optimizing shipbuilding processes and further development of the industry.

DevOps workflow optimization: Enhancing deployment and efficiency for cloud application

DevOps has quickly become an essential process for cloud software in the contemporary world of utilizing software. However, questions regarding the efficiency of the work flow and speed of application deployment still prevails especially when implemented under cloud environment. This paper focuses on the workflow optimization techniques of DevOps including automation of work, integration and deployment processes CI/CD, Infrastructure to code IaC, and monitoring. The aim is to give guidance on how to increase the velocity of deployment and operation when it comes to applications hosted in the cloud. The information presented from the evaluation of the main optimization strategies can help organizations to enhance the overall cycle time and improve the quality of the products at the same time.

Fatigue Life and Stress Analysis of a Single Cylinder Four Stroke Crankshaft

This paper focuses on the optimization of a crankshaft using ANSYS software in terms of weight and strength. The initial designs of the crankshaft, piston, and connecting rod were created using SolidWorks. The force generated by the gas during the combustion process was calculated to be 12017 N. Next, the SolidWorks assembled system was imported into ADAMS View software for simulation, which revealed a time-variant force of the crankpin of 14049 N. The calculated value was verified with results obtained from analytical calculations, showing a deviation of 0.23%. Finite element analysis was done for the crankshaft using ANSYS transient structural after applying loadings and boundary conditions. The optimization process aimed to minimize the crankshaft's weight while maintaining its strength and durability. The results of the ANSYS simulations showed a weight reduction of 2.5% from the original 2.983 kg to 2.907 kg, while maintaining the required strength and durability. The optimized crankshaft was compared to its original design in terms of fatigue life, weights, and stresses. The maximum von Mises stress was reduced by 16%, shear stress by 3.5%, and deformation by 3.5%, which were validated through analytical calculations. The crankshaft analysis resulted in a significant increase in fatigue life, calculated to be infinite under the given conditions. To conclude, the objective to optimize the crankshaft for performance and efficiency was achieved, demonstrating a 2.5% weight reduction and substantial improvements in fatigue life and stress distribution, proving the effectiveness of ANSYS software for the design optimization process.

Web system in the management of Preprofessional internship in students at the Private University of Trujillo [Sistema web en la gestión de Prácticas Pre Profesionales en los estudiantes de la Universidad Privada de Trujillo

The objective of this study is to improve the management of preprofessional internships for students at the Private University of Trujillo. The Directorate of Professional Development and Job Board, in charge of connecting students with companies for their pre-professional internships, carries out a series of manual processes for this purpose and disseminates them through printed publications in the university's wall newspapers, where on many occasions they go unnoticed. In addition to this, students do not necessarily have classes scheduled every day of the week, losing the opportunity to apply for a job offer that has been recently published and whose time for submitting the file is in a short period of time. As these are printed publications, there is minimal risk of them being lost, damaged or intentionally tampered with, without the management being aware of it. With the arrival of the COVID-19 pandemic and everything that this entailed, since the current government declared a state of national emergency, the Directorate saw a decrease in the population of students eligible for pre-professional internships. The study corresponds to the cross-sectional correlational type, with a variant population for each identified indicator. For statistical analysis, the SPSS Static 21 program was used and the Kolgomorov-Smirnov normality test, Student's t test and Wilcoxon for related samples were used to test the hypotheses. The results showed that the time spent searching for information before the implementation of the web system is greater than the time spent searching after the implementation of the web system (p=0.00). The Rational Unified Process software development methodology was used, supported by the unified modeling language (UML). On the other hand, the time to register pre-professional internship advertisements before the implementation of the web system is greater than the time to search after the implementation of the web system (p=0.00). Also the degree of user satisfaction before the implementation of the web system is lower than the degree of user satisfaction after the implementation of the web system (p=0.00). It concludes with a decrease of 83.02% in the time spent searching for ads; a 57.40% decrease in the time to publish ads, and a 45.51% increase in the level of user satisfaction. All this leads to the conclusion that the implementation of a web system improves the management of pre-professional internships of students at the Private University of Trujillo.

IMPLEMENTASI PERANCANGAN INTEGRASI SWOT BALANCED SCORECARD DALAM PENILAIAN KINERJA BISNIS PAKAN KELINCI PADA RABBIT BROTHERS DI KABUPATEN BANDUNG

Rabbit Brothers is one of the rabbit breeders established in 2017 located in West Java, West Bandung Regency. Rabbit Brothers rabbit feed sales in 2023 fluctuated. The tighter the competition, the company needs to determine strategies in business management to determine the company's current performance. The purpose of this study is to describe the strategy based on SWOT analysis, design a Rabbit Brothers rabbit feed strategy map based on SWOT Balanced Scorecard integration, performance measurement and performance assessment of Rabbit Brothers rabbit feed based on SWOT Balanced Scorecard integration, and improve Rabbit Brothers rabbit feed business performance based on SWOT Balanced Scorecard integration. The methods in this research are SWOT Analysis, Balanced Scorecard, Analytical Hierarchy Process Software Expert Choice, and Key Performance Indicator Lead Indicator. Rabbit Brothers rabbit feed strategy and strategy map, one of which is increasing profits, Rabbit Brothers rabbit feed performance is 93.04%, meaning that the company's performance is in a very healthy condition with the category (AAA). The performance of the four performance perspectives that are not optimal is improved on strategic initiatives, one of which is the content creation program.

Text-to-Model Transformation: Natural Language-Based Model Generation Framework

System modeling language (SysML) diagrams generated manually by system modelers can sometimes be prone to errors, which are time-consuming and introduce subjectivity. Natural language processing (NLP) techniques and tools to create SysML diagrams can aid in improving software and systems design processes. Though NLP effectively extracts and analyzes raw text data, such as text-based requirement documents, to assist in design specification, natural language, inherent complexity, and variability pose challenges in accurately interpreting the data. In this paper, we explore the integration of NLP with SysML to automate the generation of system models from input textual requirements. We propose a model generation framework leveraging Python and the spaCy NLP library to process text input and generate class/block definition diagrams using PlantUML for visual representation. The intent of this framework is to aid in reducing the manual effort in creating SysML v1.6 diagrams—class/block definition diagrams in this case. We evaluate the effectiveness of the framework using precision and recall measures. The contribution of this paper to the systems modeling domain is two-fold. First, a review and analysis of natural language processing techniques for the automated generation of SysML diagrams are provided. Second, a framework to automatically extract textual relationships tailored for generating a class diagram/block diagram that contains the classes/blocks, their relationships, methods, and attributes is presented.

COVID-19-Related Social Isolation, Self-Control, and Internet Gaming Disorder Among Chinese University Students: Cross-Sectional Survey.

Internet gaming disorder among university students has become a great concern for university counsellors worldwide since the COVID-19 pandemic. The factors influencing the development of internet gaming disorder in students during the COVID-19 pandemic could be different from those before the pandemic. This study aims to explore the associations among social isolation, self-control, and internet gaming disorder in Chinese university students and to examine whether self-control mediates the positive effects of social isolation on internet gaming disorder. A cross-sectional survey was employed to collect data from university students in Shandong province of China from April to September 2022. The Isolation subscale of the Self-Compassion Scale, Self-Control Scale, and Internet Gaming Disorder Scale were used to assess the social isolation, self-control, and internet gaming disorder among university students, respectively. Models 4 and 5 of PROCESS software were used to analyze the mediating role of self-control and the moderating role of gender on the association between social isolation and internet gaming disorder. A total of 479 students were recruited from 6 universities located in 3 different regions of Shandong, China. Students had low levels of internet gaming disorder and moderate levels of social isolation and self-control, with mean scores of 8.94 (SD 9.06), 12.04 (SD 3.53), and 57.15 (SD 8.44), respectively. Social isolation was positively correlated with internet gaming disorder (r=0.217; P<.001), and self-control was negatively correlated with social isolation (r=-0.355; P<.001) and internet gaming disorder (r=-0.260; P<.001). Self-control played a mediating role in the association between social isolation and internet gaming disorder (β=-.185, 95% CI -.295 to -.087). The effects of social isolation on internet gaming disorder among female students were lower than those among male students. Self-control was a mediator in the association between social isolation and internet gaming disorder. Moreover, gender played a moderating role in the association between social isolation and internet gaming disorder. This study highlights the need to alleviate the development of internet gaming disorder among students during a pandemic, especially that of male students. Effective interventions that lessen social isolation and promote self-control should be developed.

Machine Learning Platform for Disease Diagnosis with Contrast CT Scans

Machine learning has gained significant recognition as a powerful approach for medical diagnosis using medical images. Among various medical imaging modalities, contrast-enhanced CT (CECT) is utilized to obtain additional diagnostic information that improves visualization and evaluation of certain abnormalities in the human body, as well as to observe temporal changes in lesions and tumors across different time phases. However, developing such medical diagnostic systems presents two significant challenges: high technical complexity and substantial development effort. This paper presents a software platform that effectively addresses these challenges. Specifically, we propose a unified software process that fully automates contrast-enhanced CT (CECT)-specific disease diagnosis, with key tasks performed by leveraging task-specific machine learning models to enhance accuracy. The platform incorporates a suite of specialized machine learning models into the diagnostic process, enabling precise diagnosis of lesions, malignancies, tumors, tumor characteristics, and temporal changes over phases. Moreover, the platform has been designed according to the Open–Closed Principle, allowing it to be applicable to a wide range of CECT-based diagnostic systems. The platform has been implemented in Python using the Scikit-learn and TensorFlow libraries. To validate its applicability and reusability, a hepatocellular carcinoma (HCC) diagnosis system has been implemented.

Research on the impact of streamers’ linguistic emotional valence on live streaming performance in live streaming shopping environments

As an emerging retail model, live streaming shopping involves real-time interactions between streamers and viewers, and among the viewers themselves. In live streaming interactions, the comments posted by the viewers reflect their emotional states, which may have been influenced by the streamers’ emotional expression. This study utilized the S-O-R model and emotional contagion theory as its theoretical foundation to investigate how the emotional valence of streamer speech and real-time comment influence live streaming performance (sales growth/fans growth) and explored the moderating effect of the live streaming atmosphere cues. With Python software and natural language processing technology of Baidu AI platform, sentiment analysis was conducted on 124,085 streamer speech sentences and 24,3767 viewer real-time comments. Our findings reveal that both positive and negative emotional valence of streamer speech positively affect live streaming performance; in addition to the negative impact of neutral emotional valence on sales growth and of negative emotional valence on fans growth, real-time comment emotional valence has a positive correlation with live streaming performance; finally, the study examined the moderating effect of atmosphere cues and demonstrated the complex dynamics of atmospheric cues affecting emotional contagion and sales in live streaming. The findings provide a scientific reference for live marketing managers to optimize the emotional expression of streamer speech and their live streaming operation mode.

Perbandingan Metode TAM dengan UAT Efisiensi Aplikasi Kehadiran Karyawan Berbasis Android

The presence of employees in the company refers to their physical availability and mental involvement in carrying out their assigned duties and responsibilities. This includes punctuality, productivity, as well as positive contributions to company culture and achievement of organizational goals. The aim of the research conducted on employee attendance is to show how high the level of efficiency in using the attendance application is by comparing the TAM and UAT methods so that the difference in this concept determines whether employee responses are accepted or not. utilization of this technology, the TAM method is a framework for understanding technology adoption behavior based on user perceptions of usability and ease of use, while the UAT method testing is the process of testing software by end users to ensure suitability to business needs. The final comparison results obtained by the TAM and UAT methods had percentages of 84.69% and 87.38%. which is categorized as good in terms of utilization of attendance applications for employees.

Challenges in Adopting Agile Methodologies in the Software Engineering Processes Management: a Literature Review

Objective: To identify and select the main challenges in adopting agile methodologies in the software engineering processes management, that is, to analyze the most recurring challenges involving the application of agile methodologies in organizational environments. Theoretical Framework: Software Development is marked by a dynamic environment in constant change, where organizations must experiment with new values, manifested in flexibility, adaptation, intelligence, innovation and proactivity, using innovative tools, as conditions to become efficient and competitive. Method: The research was conducted based on bibliographical review, whose strategy was the analysis of a group of authors who constituted the theoretical framework to substantiate and explain the categories of this study, centered on agile methodologies. Results and Discussion: The results revealed that organizations encounter obstacles of different natures to implement agile methodologies in their environment, making project development difficult, thus not having the changes considered with good receptivity among employees, given the ingrained values and culture, becoming challenges for the organization. Implications of the Research: Given this evidence, it is concluded that organizational culture has as its primary factor resistance to change, as being the organization's main challenge for the acceptance and implementation of agile methodologies, indicating that there is no compatibility between organizational culture and agile methodologies. Originality/Value: This study contributes to identifying factors that become challenges to the successful implementation of agile methodologies in organizations, such as changes in organizational culture.

Cultural and gender differences in predicting flourishing through gratitude and life purpose: A moderated mediation analyses

Background: This study investigated the relationship between gratitude, purpose in life and flourishing, as well as the mediating role of purpose in life in the relationship between gratitude and flourishing in two different cultures, Indian and Polish. We also examined the moderating role of gender in the relationship between gratitude and purpose in life. Methods: A sample of 328 Indian and 303 Polish participants aged 18–56 years completed the Gratitude, Resentment, and Appreciation Scale, the Purpose in Life Questionnaire, and the Flourishing Scale. Pearson’s correlations were used to assess the associations between the main study variables, and PROCESS software was used to calculate moderated mediation. Results: Findings showed that gratitude and purpose in life were positively related to flourishing. Life purpose mediated the relationship between gratitude and flourishing. In the Indian sample, gender was a statistically significant moderator between gratitude (and its three facets) and purpose in life. In the Polish sample, gender moderated the relationship between overall gratitude and only one dimension (a sense of abundance) and purpose in life. Conclusions: The results suggest that enhancing gratitude and a sense of purpose in life can significantly improve individuals’ flourishing, considering gender and cultural differences.

Understanding the drivers of sustainable food consumption of Chinese university students: a moderated mediation model

Purpose The purpose of this study is to assess how Sustainable food consumption (SFC) can improve the quality of life for consumers and encourage green food production. Sustainable consumption is an important factor in achieving the sustainable development goals (SDGs) proposed by the United Nations. However, achieving SFC requires government policies, consumer environmental values and accessible channels. Design/methodology/approach This paper investigates how to promote SFC intentions using a sample of 386 students from Chinese universities. By using SPSS Process software, this study developed and tested a theoretical model grounded in the stimulus-organism-response (SOR) framework. Findings The findings indicate that environmental emotions mediate the relationship between sustainability knowledge and SFC intentions. Contextual factors such as green self-efficacy (GSE) moderate both the direct relationship between environmental emotions and SFC intentions and the indirect relationship between sustainability knowledge and SFC intentions via environmental emotions. The paper continues with a discussion of the findings and their practical implications. Originality/value This paper applied the SOR model to the context of students’ sustainability knowledge and SFC intentions. This also presents environmental emotions as a mediation variable, and green self-efficacy as a moderating factor, and constructs the moderated mediation model. This is one of the novel contributions to the literature on SFC intentions and sustainability knowledge.

Research on the interactive design of intelligent assisted speech software

Nowadays, people need to make all kinds of speeches and presentations, both at school and at work. With the continuous development of science and technology, there is a lot of software on the market to assist people in making speeches. The aim of this article is to introduce the conception of a new type of presentation aid software and to analyse the development process of such software. Users from different backgrounds have evaluated the existing speech assistance software on the market, and this evaluation information will be based on the user reviews on the official website of the software download. Through the requirement analysis, the main problems and demands faced by the users in the presentation process will be identified. The software will be analysed and researched in terms of its design purpose, interface design, core functions, user experience and other aspects. The research conducted in this thesis provides users with new presentation assistance software that enables them to make more confident and smooth presentations. At the same time, this research provides useful references and discussions for the design and development of intelligent aids.

Integrating multi-microphone devices and AI for noise event identification in unattended monitoring

This paper explores the use of multi-microphone devices and artificial intelligence (AI) for the identification of noise events in unattended noise monitoring. The system presented aids in the identification and localization of dominant sound sources using time difference of arrival techniques. By incorporating AI technology, the system's software automates the extraction of non-relevant sounds. The algorithms enable removal of undesired components, resulting in a more accurate measurement. This article discusses the benefits and limitations associated with employing automatic processes in noise monitoring and analysis software. Finally, a current application and prospects for future advancements in the field are presented.