Cloud software code generation via knowledge graphs and multi-modal learning by Fanlong Zhang, Huanming Chen, Quan Chen, Jianqi Liu

“…Experiments on two processed open-source datasets demonstrate that our method, without relying on extensive pre-training, achieves superior results compared to existing pretrained models across BLEU-4, CodeBLEU, and ROUGE-L metrics, paving the way for more efficient and intelligent cloud-native software development.…”
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Multi-label software requirement smells classification using deep learning by Ashagrew Liyih Alem, Ketema Keflie Gebretsadik, Shegaw Anagaw Mengistie, Muluye Fentie Admas

“…These smells, which frequently indicate difficulties like ambiguity, vagueness, or incompleteness, can lead to misunderstandings and mistakes in the latter phases of software development. Traditionally, identifying requirement smells was a manual process, time-consuming, prone to inconsistency, and human mistakes. …”
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A framework for developing user-based adaptive gamified systems by Wael Elgammal, Nada Sherief, Walid Abdelmoez

“…We validate the proposed framework using a case study conducted with employees of a large-scale software development company. By applying all their practical comments, the methods of the proposed framework were enhanced. …”
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Effect of lateralized epileptic discharges on the thought flow by Paulo Bueno de Mendonça, Lucy Campos Piccinin, Celso Medeiros Capucho, Carlos José Reis de Campos

“…Subject responses were recorded through a PC keyboard and time intervals (pauses) between each word-phrase were processed by a software developed for this purpose. RESULTS: Time intervals reduction among associations in right lesional group were compared to left lesional, right non-lesional and control groups. …”
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GENERAL PRINCIPLES OF BUILDING THE MODEL OF DEVELOPMENT AND OPERATION OF HETEROGENEOUS TEAMS FOR PROJECT MANAGEMENT by Valeriy Gurin, Elena Persiyanova

“…As a result of the conducted researches the basic principles of making the model of managing software development are shown, mathematical methods of development and operation of heterogeneous teams for project management are suggested. …”
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The Role of Cardiac Computed Tomography Angiography in Risk Stratification for Coronary Artery Disease by Sophie E. van Rosendael, MD, PhD, Arthur Shiyovich, MD, Rhanderson N. Cardoso, MD, Camila Veronica Souza Freire, MD, Alexander R. van Rosendael, MD, PhD, Fay Y. Lin, MD, Gina Larocca, MD, Solomon W. Bienstock, MD, Ron Blankstein, MD, Leslee J. Shaw, PhD

“…Coronary computed tomography angiography (CCTA) allows the assessment of the presence and severity of obstructive and nonobstructive atherosclerotic coronary artery disease. With software developments incorporating artificial intelligence-based automated image analysis along with improved spatial resolution of CT scanners, volumetric measurements of atherosclerotic plaque, detection of high-risk plaque features, and delineation of pericoronary adipose tissue density can now be readily and accurately evaluated for a given at-risk patient. …”
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Alquimia v1.0: a generic interface to biogeochemical codes – a tool for interoperable development, prototyping and benchmarking for multiphysics simulators by S. Molins, B. J. Andre, J. N. Johnson, J. N. Johnson, G. E. Hammond, B. N. Sulman, K. Lipnikov, M. S. Day, J. J. Beisman, D. Svyatsky, H. Deng, P. C. Lichtner, C. I. Steefel, J. D. Moulton

“…These applications make it apparent that the availability of a well-defined yet flexible interface has the potential to improve the software development workflow, freeing up resources to focus on advances in process models and mechanistic understanding of coupled problems.…”
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Implementing and Evaluating Automated Bug Triage in Industrial Projects by Hyun-Taek Hong, Dae-Sung Wang, Se-Jin Kim, Hoon Sung, Chang-Won Park, Ho-Hyun Park, Chan-Gun Lee

“…Resolving bugs on time is essential for software development and is critical in industrial projects because it directly affects businesses. …”
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Pitik: A Cebuano-Binisaya Intent-Based Chatbot for Cardiovascular Disease Patient Profiling and Risk Factor Recommendations by Joseph Cedeño, Andrew Manteza, Nicole Nacar, Merhamdin Umbukan, Cherrie Muaña, Ma. Juliet Vasay-Cruz, Ceasar Ian Benablo, Kristine Mae Adlaon

“…Methods: This study collaboratively employed Action Research to refine Pitik through three software development iterations. The chatbot integrated the Diag-Ex framework alongside Pre-Intent and Post-Intent Matching algorithms. …”
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UML Profile to Model Accessible Web Pages by Karla Ordonez-Briceno, Jose R. Hilera, Luis de-Marcos, Salvador Oton-Tortosa, Samanta Cueva-Carrion

“…Furthermore, an experiment is carried out to evaluate the usability difficulty of the profile among software developers. This multifaceted approach aims to improve the integration of accessibility into website development, ensuring inclusivity for a diverse user base while simplifying the implementation process for developers.…”
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Ensuring Semantic Consistency in SysML v2 Models Through Metamodel-Driven Validation by Eduardo Cibrian, Jose Olivert-Iserte, Carlos Diez-Fenoy, Roy Mendieta, Juan Llorens, Jose Maria Alvarez-Rodriguez

“…A practical case study validates the method on SysML v2 models of aerospace, automotive, and software development domains, demonstrating the systematic identification and resolution of errors. …”
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Rapid assessment of nutritional value indicators in <i>Vigna unguiculata</i> (L.) Walp. seed accessions from the VIR collection using NIR spectroscopy by T. V. Shelenga, A. A. Nikiforov, M. O. Burlyaeva, I. N. Perchuk, V. S. Popov

“…Calibration models were calculated using the OPUS software developed for the MATRIX-I IR analyzer (Bruker Optics, Germany).Results and conclusion. …”
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Using Large Language Models for Aerospace Code Generation: Methods, Benchmarks, and Potential Values by Rui He, Liang Zhang, Mengyao Lyu, Liangqing Lyu, Changbin Xue

“…Within the realm of software development, code generation technology powered by LLMs has emerged as a prominent research focus. …”
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Microarray analysis of virulence gene profiles in Salmonella serovars from food/food animal environment by Wen Zou, Sufian F Al-Khaldi, William S Branham, Tao Han, James C Fuscoe, Jing Han, Steven L Foley, Joshua Xu, Hong Fang, Carl E Cerniglia, Rajesh Nayak

“…Genomic DNA was digested with Sau3AI, labeled with Cy3 dye, hybridized to the gene probes, and the images were captured and analyzed by GenePix 4000B and ArrayTrackTM, a free software developed by Food and Drug Administration (FDA) researchers. …”
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AN EVALUATION OF CONTINUOUS, SELECTIVE ATTENTION, REASONING AND COLLISION TIME PREDICTION SKILLS IN SECURITY GUARDS by Halim İşsever, Elif Ezirmik, Nefise Şeker, Zeynep Betül Sağlam, Gözde Öztan, Fatma Canatar

“…Licensed evaluation system software developed by ALG Psikoteknik (https://www.algpsikoteknik.com) was used as the test system. …”
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Development of software for collecting cleft-specific data in Malaysia by Al Imran Shahrul, Nik Mukhriz Nik Mustapha, Mas Suryalis Ahmad, O. P. Kharbanda, Aida Nur Ashikin Abd Rahman

“…The team involved in developing the clinical database includes cleft clinicians, software developers, software designers, members of the Cleft Lip and Palate Association Malaysia (CLAPAM), and experts in database development. …”
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An approach to predicting the properties of software vulnerabilities by Sergey A. Budnikov, Mikhail A. Tarelkin, Yuri K. Yazov

“…The scope of application of the developed approach can be the sphere of software development and information security tools, as well as the created and operated systems for ensuring information security of significant objects of critical information infrastructure.…”
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Improving with Hybrid Feature Selection in Software Defect Prediction by Muhammad Yoga Adha Pratama, Rudy Herteno, Mohammad Reza Faisal, Radityo Adi Nugroho, Friska Abadi

“…Software defect prediction (SDP) is used to identify defects in software modules that can be a challenge in software development. This research focuses on the problems that occur in Particle Swarm Optimization (PSO), such as the problem of noisy attributes, high-dimensional data, and premature convergence. …”
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Prediction and prevention of ischemic stroke in young people depending on genetic polymorphism using a smartphone application by T. I. Dutova

“…A group of young patients suffered from ischemic stroke (IS) needs to be provided with an extended medical examination involving genotyping methods aimed at the development of personalized measures of primary and secondary prevention.Objective. To use our software developed for mobile devices, which allows us to calculate the risk of IS taking into account the genetic predisposition of the patient thereby to develop a scheme for the pathology prevention.Materials and methods. …”
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Software Defect Prediction Using Deep Q-Learning Network-Based Feature Extraction by Qinhe Zhang, Jiachen Zhang, Tie Feng, Jialang Xue, Xinxin Zhu, Ningyang Zhu, Zhiheng Li

“…Moreover, without proper feature reduction, the interpretability and generalization ability of machine learning models in SDP may be compromised, hindering their practical utility in diverse software development environments. In this paper, an SDP approach using deep Q-learning network (DQN)-based feature extraction is proposed to eliminate irrelevant, redundant, and noisy features and improve the classification performance. …”
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