Software Development Methodologies Research Articles

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.

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

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

A survey on Cryptoagility and Agile Practices in the light of quantum resistance

Context:Crypto-agility, a name that stems from agile methodologies for software development, means the ability to modify quickly and securely cryptographic algorithms in the event of a compromise. The advent of quantum computing poses existential threats to current cryptography, having the power to breach current cryptography systems. Objective:We investigated whether and to what extent agile practices for software development are suited to support crypto-agility, or not. In particular, we discuss their usefulness in the context of substituting current algorithms with quantum-resistant ones. Method:First, we analyzed the literature to define a subset of 15 agile practices potentially relevant to cryptographic software development. Then, we developed a questionnaire to assess the suitability of agile practices for obtaining crypto-agility. We performed a Web search of relevant documents about crypto-agility and quantum resistance and sent their authors the questionnaire. We also sent the questionnaire to cybersecurity officers of four Italian firms. We analyzed and discussed the responses to 32 valid questionnaires. Results:The respondents’ affiliations are evenly distributed between researchers and developers. Most of them are active, or somehow active, in quantum-resistant cryptography and use agile methods. Most of the agile practices are deemed to be quite useful, or very useful to get crypto-agility, the most effective being Continuous Integration and Coding Standards; the least appreciated is Self-organizing Team. Conclusion:According to researchers and developers working in the field, the safe transition of cryptographic algorithms to quantum-resistant ones can benefit from the adoption of many agile practices. Further software engineering research is needed to integrate agile practices in more formal cryptographic software development processes.

From FOSS to profit: Digital spatial technologies and the mode of production

Existing literature has scrutinized the impact of geospatial technologies from various angles. This article adopts a heterodox vantage point—the mode of production—to illuminate the intricate power dynamics woven into the fabric of these technologies. By focusing on the mode of production, we meticulously demonstrate how ostensibly novel digital technologies and geospatial data formats wield power within social relations of production. Responding to calls to scrutinize the political economy of spatial technologies and map-making tools, we aim to unravel the underpinning social relations, software development techniques, and technologies that shape file formats like GeoJSON and Esri Shapefile. By tracing the historical evolution of these formats, the article reveals how digital labor, both voluntary and expropriated, shapes the landscapes of profit-driven technology firms. The rise of open standards is not a departure from for-profit motives but rather a manifestation of the confluence of free, open, and for-profit. Ultimately, we argue that the intricate connections between digital technologies, geography, and capitalist structures enroll seemingly independent FOSS products into broader systems of capital accumulation. These findings highlight the far-reaching impact of geospatial technologies and their role in perpetuating and reshaping capitalist dynamics.

SISTEM INFORMASI E-KATALOG PERPUSTAKAAN MUSEUM NEGERI NUSA TENGGARA BARAT BERBASIS WEBSITE

Library digitalization has become increasingly important in the era of information technology development. Digitalization enables libraries to provide easier and more efficient access to various information sources. This study proposes to design and construct an online e-catalog information system for the Nusa Tenggara Barat State Museum Library, which currently relies on manual book searches. The waterfall model was the software development methodology utilized in this study. This research is designed to facilitate library data management and assist visitors in finding the books they need. The implementation of this system includes features such as sign-in, dashboard, profile, services, and catalog. The testing results demonstrate that the system is intuitive, offers comprehensive information, and all functionalities function as intended. In conclusion, this e-catalog information system successfully improves the effectiveness of library services and simplifies book data management.

Navigating discourses of feedback: developing a pattern system of feedback.

Although feedback is often presented as if it were a well-understood concept in health professions education, in practice it can mean many things. For some, feedback is a conversation about defining and improving performance, while for others it is the information generated by assessments and tools. Indeed, feedback has variously been defined as a process, as data, as a conversation, and as a reflective exercise. As a result, for a concept so central to what educators do, 'feedback' is ambiguous and has multiple meanings. Pattern theory affords opportunities to examine what scholars and practitioners mean when they use the term 'feedback'. Elaborating feedback as a pattern system can connect otherwise disjointed discourses of feedback. In this paper, the authors describe the development of a pattern system of feedback in medical education. Arksey & O'Malley's 5-stages of scoping reviews were adapted to enact a 6-step pattern system development methodology that included (1) Identifying the research question and scope of inquiry; (2) elaborating a strategy for pattern identification; (3) study selection; (4) abductive pattern representation development; (5) pattern system testing; and (6) summarizing and reporting the results. A pattern system of feedback was developed based on review of 218 full text articles and testing against an additional 2833 citations. This pattern system is made up of 36 pattern representations organized under 6 domains: feedback referent, feedback intentions, feedback information, feedback processing, feedback response, and feedback meta. The pattern system was applied to two models of feedback to demonstrate its utility as a lens through which to analyze various instances of feedback and to foreshadow its potential broader applicability as a tool to facilitate knowledge synthesis in the feedback problem space.

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.

Towards Health 4.0: Blockchain-Based Electronic Health Record for Care Coordination

Inter-organizational data sharing in healthcare is fraught with challenges, including diverse healthcare terminologies, incompatible data structures, and issues with data consistency and security. Establishing a unified patient record across a data-sharing network is problematic, and centralized data stores and authority providers are prime targets for cyberattacks. This study proposes a blockchain-based patient data-sharing strategy that relies on network consensus rather than a single, centralized source of trust. The consensus is based on evidence of both structural and semantic interoperability. The primary objective is to develop secure and controlled data-sharing mechanisms that enhance care coordination. The research utilized Kanban as the software development methodology to manage the project effectively. The study found that blockchain-based electronic health record (EHR) systems significantly enhance care coordination by enabling seamless data transfer and fostering trust and collaboration among healthcare providers. Key findings include improved data consistency, enhanced security, and increased interoperability across diverse healthcare systems. These results suggest that blockchain technology can play a crucial role in transforming healthcare delivery and improving patient outcomes in the context of Health 4.0. This work contributes to the ongoing discussion on leveraging blockchain technology to revolutionize healthcare systems, offering a robust framework for secure and efficient data sharing that can lead to better healthcare delivery and patient care outcomes.

Software System Architecture for Estimating Software Development Time

The article is devoted to the issues of estimating the duration of software development, the solution of which can significantly improve the efficiency of software projects. The relevance of the topic is conditioned by the rapid development of software development methodologies, on which the existing algorithms of such estimation depend, and, as a consequence, by the rapid obsolescence of approaches to solving this problem. A systematic analysis of the main algorithms for estimating software development duration is carried out. The classification of such algorithms is presented. The algorithm of software development duration estimation and the idea of the system implementing it, which will allow end users to automate this process, are proposed. The approaches to implementation of algorithms of retrospective (historical) estimation, PERT, expert estimation are considered. The prospectivity of researches in the field of implementation of methods of expert evaluation using neural networks is shown. The architecture of the proposed system is described. A prototype of the system implementing the method of retrospective evaluation based on the evaluation of the speed of the development team is developed.

Delta GUI change detection using inferred models

Recent software development methodologies emphasize iterative and incremental evolution to align with stakeholders’ needs. This perpetual and rapid software evolution demands ongoing research into verification practices and technologies that ensure swift responsiveness and effective management of software delta increments. Strategies such as code review have been widely adopted for development and verification, ensuring readability and consistency in the delta increments of software projects. However, the integration of techniques to detect and visually report delta changes within the Graphical User Interface (GUI) software applications remains an underutilized process. In this paper, we set out to achieve two objectives. First, we aim to conduct a comprehensive review of existing studies concerning GUI change detection in desktop, web, and mobile applications to recognize common practices. Second, we introduce a novel change detection tool capable of highlighting delta GUI changes for this diverse range of applications. To accomplish our first objective, we performed a systematic mapping of the literature using the Scopus database. To address the second objective, we designed and developed a GUI change detection tool. This tool simultaneously transits and compares state models inferred by a scriptless testing tool, enabling the detection and highlighting of GUI changes to detect the widgets or functionalities that have been added, removed, or modified. Our study reveals the existence of a multitude of techniques for change detection in specific GUI systems with different objectives. However, there is no widely adopted technique suitable for the diverse range of existing desktop, web, and mobile applications. Our tool and findings demonstrate the effectiveness of using inferred state models to highlight between 8 and 20 GUI changes in software delta increments containing a large number of changes over months and between 4 and 6 GUI changes in delta increments of small iterations performed over multiple weeks. Moreover, some of these changes were recognized by the software developers as GUI failures that required a fix. Finally, we expose the motivation for using this technique to help developers and testers analyze GUI changes to validate delta increments and detect potential GUI failures, thereby fostering knowledge dissemination and paving the way to standard practices.

Agile Methodologies in Mobile App Development for Real-Time Data Processing

In the rapidly evolving landscape of mobile app development, the need for real-time data processing has become increasingly critical. Traditional software development methodologies often struggle to keep pace with the dynamic requirements and quick turnarounds demanded by modern mobile applications. Agile methodologies, with their emphasis on iterative development, flexibility, and close collaboration, offer a promising solution for meeting these demands. This paper explores the integration of Agile methodologies in the development of mobile applications specifically designed for real-time data processing. Agile approaches, including Scrum, Kanban, and Extreme Programming (XP), are evaluated for their effectiveness in addressing the challenges of real-time data processing in mobile apps. The study emphasizes the importance of continuous feedback, rapid prototyping, and adaptive planning in ensuring that mobile applications can efficiently process and deliver data in real time. Furthermore, the paper discusses how Agile's incremental delivery model allows development teams to respond swiftly to changing user needs and technological advancements, thereby enhancing the overall performance and user experience of mobile apps.

Agile Methodologies in Mobile App Development for Real-Time Data Processing

In the rapidly evolving landscape of mobile app development, the need for real-time data processing has become increasingly critical. Traditional software development methodologies often struggle to keep pace with the dynamic requirements and quick turnarounds demanded by modern mobile applications. Agile methodologies, with their emphasis on iterative development, flexibility, and close collaboration, offer a promising solution for meeting these demands. This paper explores the integration of Agile methodologies in the development of mobile applications specifically designed for real-time data processing. Agile approaches, including Scrum, Kanban, and Extreme Programming (XP), are evaluated for their effectiveness in addressing the challenges of real-time data processing in mobile apps. The study emphasizes the importance of continuous feedback, rapid prototyping, and adaptive planning in ensuring that mobile applications can efficiently process and deliver data in real time. Furthermore, the paper discusses how Agile's incremental delivery model allows development teams to respond swiftly to changing user needs and technological advancements, thereby enhancing the overall performance and user experience of mobile apps.

Application of Privacy Engineering Techniques in Software Development for the National Privacy Commission

The study investigated the implementation of privacy engineering in software development at the National Privacy Commission (NPC) with a specific focus on the Data Breach Notification Management System (DBNMS). Objectives include identifying the factors that contribute to the success or failure of privacy engineering in the NPC's software development context, to provide valuable insights into the integration of privacy measures. This includes the development of actionable guidance for the effective integration of privacy and security in software engineering at the NPC, tailored specifically for NPC engineers and encompassing methodologies for incorporating privacy engineering throughout the software development life cycle. This is to empower NPC software engineers with practical tools and strategies to create a secure and privacy-respecting environment. Qualitative methodology and thematic analysis approach were utilized to assess the effectiveness of privacy engineering techniques. To gather insights, semi structured interviews were conducted with both internal and external stakeholders composed of software developers, data protection officers, and other internal and external users of the DBNMS. Evaluation yielded positive remarks both from internal and external participants. Factors that contributed to the success and failure of privacy engineering techniques in software development include rapid evolution of technology, lack of funds, and stakeholder engagement, among others. Overall, the findings are expected to contribute to the broader discourse on privacy engineering and have implications for policymakers, software development practitioners, and organizations looking to enhance their privacy practices in the digital age.

Software Engineering in Health Care

Software engineering has emerged as a cornerstone in the evolution of healthcare delivery, serving as a key player in improving patient care and maximizing systemic efficiency. This paper delves into the integration of software engineering principles, methodologies, and technologies within the healthcare sector, highlighting key applications such as Electronic Health Records (EHR), telemedicine platforms, clinical decision support systems, and medical imaging software. Through an exploration of challenges, opportunities, future trends, and case studies illustrating successful implementations, this study underscores the critical importance of software engineering in shaping the future of providing healthcare and enhancing patient results. By tackling current issues, seizing opportunities, and embracing future trends, Software engineering's revolutionary potential can be used by the healthcare industry to improve patient care and operational efficiency.

Sentiment Analysis of Joglo Wifi UMKM Service with Naive Bayes Method

In today's digital era, many businesses face challenges in managing and responding to customer feedback and suggestions contained in comments. Joglo Wifi Corner UMKM Business Center & Coffee experiences similar difficulties, where the lack of customer feedback management negatively impacts service quality and customer satisfaction. In this study, we aim to develop and implement a sentiment analysis system that is able to classify customer sentiment into positive, negative, or neutral. The process begins with data collection. customer comments from the official Joglo Wifi Corner website, which are then processed through a preprocessing stage including tokenization, stop word removal, and lemmatization. Then, a Logistic Regression Naive Bayes model is drilled using the processed data to classify sentiment. The evaluation results show that this system achieves an accuracy of 91.67%, with an average precision of 0.646, an average recall of 0.805, and an average F1-Score of 0.701. The implementation of this system provides valuable insights for Joglo Wifi Corner managers in making strategic decisions to improve service quality. By responding more effectively to customer feedback, Joglo Wifi Corner promises that this research can improve customer satisfaction and expand the company's market coverage and identify areas for improvement based on customer feedback, thereby strengthening customer relationships. This approach also uses Agile Development system development methodology to ensure iterative and responsive development to changing user needs.

Perancangan Sistem Informasi Penerimaan Siswa Baru di SMK Harapan Bangsa Berbasis Web Menggunakan CodeIgniter 4

The admission of new students is a critical process in educational institutions, designed to select candidates based on specific criteria set by the school. This process typically involves multiple stages, including registration, selection through testing, and the announcement of results. However, at SMK Harapan Bangsa, this process has been managed manually using paper-based documentation and Microsoft Excel, which is inefficient and prone to errors. This study aims to develop a web-based information system for new student admissions using the CodeIgniter 4 framework and MySQL database to streamline and enhance the process. The software development methodology employed in this research is the Waterfall model, which consists of analysis, design, implementation, and system testing stages. The result of this research is an information system that simplifies the access to new student admission information for parents and students, enabling them to register online and monitor the selection results more efficiently. Additionally, the system supports the school in automatically archiving and organizing registration data. This web-based solution offers a more structured and error-free process, significantly improving the overall efficiency and accuracy of the admissions procedure.

Exploitation Process for Machine Learning Systems

In recent years, many companies have been involved in the development of machine learning systems. However, developing machine learning systems presents unique challenges compared with the traditional IT system development. In software engineering, research has been conducted on software development methodologies for machine learning systems, but most of these studies focused on the development process of individual machine learning systems, and limited research has investigated the exploitation process of continuously enhancing machine learning systems after their development and deployment. Thus, this paper focuses on the exploitation process, in which the collaboration between the machine learning systems and humans evolves gradually. Specifically, four stages of the exploitation process are proposed: visualization for machine learning, human-centered machine learning assistance, machine learning-centered human assistance, and autonomy without human involvement. Then, the characteristics and challenges of each stage are clarified. In addition, this paper examines the important aspect of trust in this context. The findings of this study are expected to provide guidelines for advancing machine learning systems incrementally in collaboration with humans from the perspective of the exploitation process rather than focusing on the development process.

Research on software reliability enhancement methods based on iterative development

Iterative development is an agile software development methodology that speeds up the development process and increases the flexibility of software delivery. However, the current software requirements change extremely fast, which leads to its increasing uncertainty, and iterative development also faces the challenge of software reliability. The software reliability enhancement method based on iterative development is researched and discussed for the current situation of insufficient reliability in the traditional software development process. In traditional software development, one-time delivery pressure and overall design complexity often lead to software functional defects and instability, affecting software reliability. The iterative development method, on the other hand, improves software reliability by decomposing the software development process into multiple iterative cycles, each of which contains requirements analysis, design, coding, and testing, updating the software functionality in smaller increments, and gradually improving the software product. This study proposes a software reliability improvement methodology by exploring and analyzing the key factors related to reliability in the iterative development process. This dissertation can establish a reliable and high-quality software development process through the steps of meticulous requirements planning and management, iterative development and testing, automated testing and continuous integration, code quality control, defect management and continuous improvement, user feedback and user engagement, and continuous learning and technology enhancement.

Accounting System Development Methodology

An accounting system development methodology is a series of procedures implemented by systems analysts to improve a company's current accounting system. Library Research (Library Research) is a method or approach used by researchers. Library research and inquiry have more than just the functions mentioned in the context of obtaining research data. This means that library research is only limited to library collection materials and does not require field research. However, library research is a method of obtaining data that involves reviewing books, literature, notes and various reports that are relevant to the problem at hand, in accordance with the opinions of experts. In the process of implementing an inadequate Accounting Information System (AIS) in a company, there are several irregularities that occur. Because of this, the company's Accounting Information System needs to be developed in a better direction. This is to ensure that the information the company needs is more appropriate.

Methodology of Development of Account Information Systems

System development methodology is the framework used to design, develop, and implement information systems. Accounting Information Systems (SIAs) play an important role in managing financial and operational data within an organization. Effective SIA development requires structured and systematic methodology. The method used is descriptive qualitative. This article discusses a variety of SIA development methodologies, including Waterfall, Agile, and DevOps. (Development and Operations). The aim of this article is to evaluate the advantages and disadvantages of each methodology and provide guidance for developers and project managers in choosing the methodology that best suits their organization's needs.