Automated Insights Into GitHub Collaboration Dynamics by Jie Bian, Nikolay Arefev, Max Muhlhauser, Michael Welzl

“…Today, GitHub (Trademark) is the most widely used platform for open-source software development. Large projects may comprise hundreds of distributed collaborators and thousands of GitHub “issues” (structured discussions). …”
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A Novel Case Base Reasoning and Frequent Pattern Based Decision Support System for Mitigating Software Risk Factors by Muhammad Asif, Jamil Ahmed

“…The results of the proposed model show that the chances of risks in software development have been reduced significantly.…”
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Public Investments in Domestic Software as a Tool for Accelerating the Economic Development of Russia by D. V. Shimanovsky

“…The possible economic effect of additional budget financing for domestic software developers was estimated. The results of calculations clearly demonstrate that additional capital investments in Russian software and databases in the amount from 0.16 to 0.64% of the Russian Federation’s consolidated budget annually (in 2020 prices and in relation to its size for the same period) can accelerate GDP growth in Russia by 0.16-2.44 percentage points per year. …”
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An Efficient Methodology for the Categorization of Software Requirements Using Natural Language Processing and Similarity Analysis by Rahat Izhar, Kenneth Cosh, Lachana Ramingwon, Sakgasit Ramingwong, Shahid N. Bhatti

“…The proposed model utilizes a dual-evaluation approach, ensuring relevance and precision across varied software development contexts. By incorporating iterative feedback into the model’s training process, this research not only aligns with academic standards but also meets the practical demands of the industry. …”
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NERVE 2.0: boosting the new enhanced reverse vaccinology environment via artificial intelligence and a user-friendly web interface by Andrea Conte, Nicola Gulmini, Francesco Costa, Matteo Cartura, Felix Bröhl, Francesco Patanè, Francesco Filippini

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SMEs’ digital maturity: analyzing influencing factors and the mediating role of environmental factors by Edwin Omol, Paul Abuonji, Lucy Mburu

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Development and approbation of a tool for assessing municipal infrastructure affecting behavioral risk factors for cardiovascular and other noncommunicable diseases by M. V. Popovich, A. V. Kontsevaya, V. A. Zinovieva, S. V. Glukhovskaya, A. N. Savchuk, D. K. Mukaneeva, A. A. Antsiferova, Е. V. Usova, O. M. Drapkina

“…The assessment was made with specialized software developed using Open Street Map (OSM) that allows real-time recording of objects for interactive map data visualization.Results. …”
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Defect Detection and Correction in OpenMP: A Static Analysis and Machine Learning-Based Solution by Norah A. Al-Johany, Fathy E. Eassa, Sanaa A. Sharaf, Eynas H. Balkhair, Sara M. Assiri

“…This work bridges the gap between static defect detection and automated correction, contributing a scalable and intelligent approach to reliable parallel software development.…”
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Developing a Framework for Implementing Artificial Intelligence in the Sports Goods Market: Social and Ethical Implications of the Development by Mostafa Mohammadian, Hassan Bahrololoum, Reza Andam, Ali Dehghani

“…The most critical identified components are routine artificial intelligence for intensive tasks, software development related to sports goods, value proposition, smart sports equipment, training and development, market research and analysis, human resources management, development of improvement strategies, and business intelligence.Originality: This Advancements in artificial intelligence have far-reaching impacts on the sports goods market. …”
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Multimodality Data Integration in Epilepsy by Otto Muzik, Diane C. Chugani, Guangyu Zou, Jing Hua, Yi Lu, Shiyong Lu, Eishi Asano, Harry T. Chugani

“…An important goal of software development in the medical field is the design of methods which are able to integrate information obtained from various imaging and nonimaging modalities into a cohesive framework in order to understand the results of qualitatively different measurements in a larger context. …”
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A step-by-step roadmap for the development and deployment of an electronic health record sidecar application that tracks patient outcomes: The RA PRO dashboard by Gabriela Schmajuk, Catherine Nasrallah, Beth Berrean, Jonathan Prugh, Cherish Wilson, Alicia Hamblin, Cammie Young, Lindsay Jacobsohn, Julia Kay, Jing Li, Emma Kersey, Meera Subash, Sara Murray, Jinoos Yazdany

“…Results The RA PRO dashboard required extensive human-centered design work, regulatory approvals, software development, user testing, integration with Epic-based workflows, and maintenance. …”
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Health IoT Threats: Survey of Risks and Vulnerabilities by Samaneh Madanian, Tserendorj Chinbat, Maduka Subasinghage, David Airehrour, Farkhondeh Hassandoust, Sira Yongchareon

“…This review has practical implications, emphasizing that healthcare organizations, software developers, and device manufacturers must prioritize healthcare IoT security and privacy. …”
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Predicting Object Communication Errors in Constructor Development by Abdul Majid Soomro, Awad Bin Naeem, Susama Bagchi, Babul Salam KSM Kader Ibrahim, Sanjoy Kumar Debnath

“…An important challenge in dynamic software development is to predict object formation run-time object communication errors in complex environments involving multiple and multi-level object inheritance. …”
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Computer Modeling of the Process for Manufacturing Spherical Vessels from Sheet Steel by Hydroforming by Pavlo P. Hontarovskyi, Natalia V. Smetankina, Nataliia H. Garmash, Iryna I. Melezhyk, Tetiana V. Protasova

“…A simulation of the manufacture of spherical vessels from sheet steel by hydroforming is proposed in this paper. The software developed on the basis of the finite element method is used, which allows solving elastoplastic problems of thermomechanics by time or load steps in combination with an iterative process on each of them, during which the geometry of the deformed part is refined. …”

Metric-based defect prediction from class diagram by Batnyam Battulga, Lkhamrolom Tsoodol, Enkhzol Dovdon, Naranchimeg Bold, Oyun-Erdene Namsrai

“…In the literature, various approaches such as machine learning (ML) and deep learning (DL), have been proposed and proven effective in detecting defects in source code during the implementation or testing phases of the software development life cycle (SDLC). A promising approach is crucial for predicting defects at earlier stages of the SDLC, particularly during the design phase, with the goal of enhancing software quality while reducing time, effort, and costs. …”
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Training of Mid-Level Specialists in the Telecommunications Area Based on a Trusted Technical Solution by Elena Smirnova, Vladimir Shibanov, Pavel Romasevich

“…The problems of training software developers for telecommunications equipment and the corresponding solutions of the D-Link Trade company in the field of training are considered.…”
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Empirical Analysis of Data Sampling-Based Decision Forest Classifiers for Software Defect Prediction by Fatima Enehezei Usman-Hamza, Abdullateef Oluwagbemiga Balogun, Hussaini Mamman, Luiz Fernando Capretz, Shuib Basri, Rafiat Ajibade Oyekunle, Hammed Adeleye Mojeed, Abimbola Ganiyat Akintola

“…The strategic significance of software testing in ensuring the success of software development projects is paramount. Comprehensive testing, conducted early and consistently across the development lifecycle, is vital for mitigating defects, especially given the constraints on time, budget, and other resources often faced by development teams. …”
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Design and Development of Diabetes Management System Using Machine Learning by Robert A. Sowah, Adelaide A. Bampoe-Addo, Stephen K. Armoo, Firibu K. Saalia, Francis Gatsi, Baffour Sarkodie-Mensah

“…The performance of the meal recommender model and question and answer chatbot was tested with a designed cross-platform user-friendly interface using Cordova and Ionic Frameworks for software development for both mobile and web applications. …”
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Empowering personalized oncology: evolution of digital support and visualization tools for molecular tumor boards by Cosima Strantz, Dominik Böhm, Thomas Ganslandt, Melanie Börries, Patrick Metzger, Thomas Pauli, Andreas Blaumeiser, Alexander Scheiter, Ian-Christopher Jung, Jan Christoph, Iryna Manuilova, Konstantin Strauch, Arsenij Ustjanzew, Niklas Reimer, Hauke Busch, Philipp Unberath

“…Alignment between user requirements and software development is crucial to avoid waste of resources and maintain trust. …”
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Transformer-Driven Active Transfer Learning for Cross-Hyperspectral Image Classification by Muhammad Ahmad, Francesco Mauro, Rana Aamir Raza, Manuel Mazzara, Salvatore Distefano, Adil Mehmood Khan, Silvia Liberata Ullo

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