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检索条件"任意字段=Knowledge-Based Software Engineering Conference"

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DKGV: A Dynamic knowledge Graph Visualization Method based on Force-Directed Layout 19

DKGV: A Dynamic Knowledge Graph Visualization Method Based o...

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19th ACM SIGGRAPH International conference on Virtual-Reality Continuum and its Applications in Industry, VRCAI 2024

作者： Zhou, Hong Huang, Sunjie Zheng, Yushan Liu, Jinyan Chen, Yang Chen, Xiangyuan Li, Jun College of Computer Science and Software Engineering Shenzhen University Shenzhen China Shenzhen Academy of Inspection and Quarantine Shenzhen China Shenzhen University Shenzhen China

ISBN: (纸本)9798400713484

The dynamic knowledge graph is a data structure that adds temporal information to the nodes and edges of a traditional knowledge graph. It describes the changing processes of entities and relationships over time, thereby enriching and updating the expression of knowledge. The dynamic knowledge graph possesses characteristics such as time and labels;it is not only a knowledge graph but also a type of dynamic graph containing heterogeneous information. To address the issue that traditional dynamic graph visualization methods do not account for heterogeneous information in the layout, leading to a relatively random distribution of node labels in the visualization results, this paper proposes DKGV, a dynamic knowledge graph visualization method based on a force-directed layout. DKGV utilizes an improved GCN to generate the initial layout of the dynamic knowledge graph data, performs static force-directed layout iterative processing, and conducts dynamic force-directed layout calculations on the dynamic knowledge graph. Finally, it employs a force-directed layout with boundaries to support three-dimensional temporal display after view transformation. Experimental results show that DKGV can maintain the stability of the node layout during the evolution of the dynamic knowledge graph while making the overall layout more regular to better display the relationships between entities. © 2024 ACM.

关键词： knowledge graph

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software System Testing Assisted by Large Language Models: An Exploratory Study 36th

Software System Testing Assisted by Large Language Models: A...

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36th International conference on Testing software and Systems

作者： Augusto, Cristian Moran, Jesus Bertolino, Antonia de la Riva, Claudio Tuya, Javier Univ Oviedo Comp Sci Dept Gijon Spain ISTI CNR Consiglio Nazl Ric Pisa Italy

ISBN: (纸本)9783031808883;9783031808890

Large language models (LLMs) based on transformer architecture have revolutionized natural language processing (NLP), demonstrating excellent capabilities in understanding and generating human-like text. In software engineering, LLMs have been applied in code generation, documentation, and report writing tasks, to support the developer and reduce the amount of manual work. In software Testing, one of the cornerstones of software engineering, LLMs have been explored for generating test code, test inputs, automating the oracle process or generating test scenarios. However, their application to high-level testing stages such as system testing, in which a deep knowledge of the business and the technological stack is needed, remains largely unexplored. This paper presents an exploratory study about how LLMs can support system test development. Given that LLM performance depends on input data quality, the study focuses on how to query general purpose LLMs to first obtain test scenarios and then derive test cases from them. The study evaluates two popular LLMs (GPT-4o and GPT-4o-mini), using as a benchmark a European project demonstrator. The study compares two different prompt strategies and employs well-established prompt patterns, showing promising results as well as room for improvement in the application of LLMs to support system testing.

关键词： Large Language Model software Testing System Testing Test Cases Test Scenarios

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Sustainable Development Goals in Computer engineering: A Curriculum Integration 17

Sustainable Development Goals in Computer Engineering: A Cur...

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17th International conference on Computer Supported Education, CSEDU 2025

作者： Markiegi, Urtzi Aldalur, Iñigo Electronics and Computing Department Mondragon Unibertsitatea Arrasate-Mondragon Spain San Sebastian Spain

ISBN: (纸本)9789897587467

This contribution delves into the incorporation of Sustainable Development Goals (SDGs) into the Computer engineering curriculum. The study addresses challenges associated with integrating SDGs as cross-cutting content in higher education. Employing a Problem-based Learning approach, semester projects are aligned with SDGs, and their impact is systematically assessed. Key research questions guide the study, evaluating students’ knowledge, perceptions, and the alignment of projects with SDGs. The methodology integrates SDG-focused learning units within the existing Problem-based Learning structure. New activities, including initial training, initial assessment, impact assessment, and SDG learning assessment, guide and evaluate students’ integration of SDGs. Results demonstrate successful implementation across three years of the Computer engineering degree. The study involves a significant number of subjects, students, and teams, ensuring a comprehensive evaluation. A rubric assesses SDG impact, emphasizing justification and direct positive contributions to SDG objectives. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Students

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A Comprahensive Analysis of knowledge Transfer Techniques for Medical Image Segmentation with Deep Learning 5th

A Comprahensive Analysis of Knowledge Transfer Techniques fo...

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5th International conference on Data Science, Machine Learning and Applications, ICDSMLA 2023

作者： Singh, Vishvendra Jain, Garima Nidhya, M.S. Chaudhary, Chetan Department of Agriculture Vivekananda Global University Jaipur India Noida Institute of Engineering and Technology Uttar Pradesh Noida India Department of Computer Science and Information Technology Jain University Karnataka Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India

ISBN: (纸本)9789819780426

This paper aims to comprehensively examine diverse knowledge switch techniques used in scientific photograph segmentation with deep mastery. Specifically, we know the latest advances in transfer, gaining knowledge of model adaptation, first-rate-tuning, and transfer mastering techniques. For each technique, we discuss the motivations, techniques, and demanding situations concerned with their software for medical picture segmentation. Similarly, we discuss a variety of open issues and destiny studies guidelines. Furthermore, we overview present applications of these methods in clinical photograph segmentation. Sooner or later, we provide a complete contrast of these processes based on the evaluation metrics hired in the literature. This paper aims to shed light on the modern state of understanding switch techniques in medical picture segmentation and to provide a roadmap for future research on this unexpectedly evolving field.. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Contrastive Learning

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Analysis of Research Trends and Hotspots of engineering Construction Project Approval System based on CiteSpace

Analysis of Research Trends and Hotspots of Engineering Cons...

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2024 International conference on Construction and Real Estate Management: ESG Development in the Construction Industry, ICCREM 2024

作者： Qin, Beibei Huang, Xiaoqiao School of Urban Economics and Management Beijing Univ. of Civil Engineering and Architecture Beijing China

ISBN: (数字)9780784485910

ISBN: (纸本)9780784485910

The reform of the Approval Process of Construction Projects (APCP) is part of the broader reform of the administrative approval system in the construction sector. This reform is a crucial step in transforming government functions and modernizing the national government system and capacity. Systematically sorting out the progress of theoretical research on the reform of the approval system of engineering and construction projects is important in the establishment of a national unified approval and management system of engineering and construction projects and the optimization of the construction business environment. Using Chinese core database journals from CNKI and CiteSpace software for visualization and analysis, this paper draws a knowledge map of the research on the reform of APCP in China. The study shows that the research hotspots of the reform of APCP mainly revolve around the issues of administrative approval, the unity of multiple planning, and the transformation of government functions. In conclusion, we suggest the future development of research on reforming the engineering construction project approval system. © ASCE.

关键词： Project management

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Enhancing software Defect Prediction in Ansible Scripts Using Code-Smell-Guided Prompting with Large Language Models in Edge-Cloud Infrastructures 4th

Enhancing Software Defect Prediction in Ansible Scripts Usin...

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24th International conference Web engineering (ICWE)

作者： Hong, Hyunsun Lee, Sungu Ryu, Duksan Baik, Jongmoon Korea Adv Inst Sci & Technol Daejeon South Korea Jeonbuk Natl Univ Jeonju South Korea

ISBN: (纸本)9783031751097;9783031751103

In edge-cloud systems, the quality of infrastructure deployment is crucial for delivering high-quality services, especially when using popular Infrastructure as Code (IaC) tools like Ansible. Ensuring the reliability of such large-scale code systems poses a significant challenge due to the limited testing resources. software defect prediction (SDP) addresses this limitation by identifying defectprone software modules, allowing developers to prioritize testing resources effectively. This paper introduces a Large Language Model (LLM)-based approach for SDP in Ansible scripts with Code-Smell-guided Prompting (CSP). CSP leverages code smell indicators extracted from Ansible scripts to refine prompts given to LLMs, enhancing their understanding of code structure concerning defects. Our experimental results demonstrate that CSP variants, particularly the Chain of Thought CSP (CoT-CSP), outperform traditional prompting strategies, as evidenced by improved F1-scores and Recall. To the best of our knowledge, this is the first attempt to employ LLMs for SDP in Ansible scripts. By employing a code smell-guided prompting strategy tailored for Ansible, we anticipate that the proposed method will enhance software quality assurance and reliability, thereby increasing the overall reliability of edge-cloud systems.

关键词： Edge-cloud Ansible Large Language Models software Defect Prediction

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6th International Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems, IWCFS 2022, 4th International Workshop on Machine Learning and knowledge Graphs, MLKgraphs 2022, 2nd International Workshop on Time Ordered Data, ProTime2022, 2nd International Workshop on AI System engineering: Math, Modelling and software, AISys2022, 1st International Workshop on Distributed Ledgers and Related Technologies, DLRT2022 and 1st International Workshop on Applied Research, Technology Transfer and knowledge Exchange in software and Data Science, ARTE2022 held at 33rd International conference on Database and Expert Systems Applications, DEXA 2022

6th International Workshop on Cyber-Security and Functional ...

引用

6th International Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems, IWCFS 2022, 4th International Workshop on Machine Learning and knowledge Graphs, MLKgraphs 2022, 2nd International Workshop on Time Ordered Data, ProTime2022, 2nd International Workshop on AI System engineering: Math, Modelling and software, AISys2022, 1st International Workshop on Distributed Ledgers and Related Technologies, DLRT2022 and 1st International Workshop on Applied Research, Technology Transfer and knowledge Exchange in software and Data Science, ARTE2022 held at 33rd International conference on Database and Expert Systems Applications, DEXA 2022

ISBN: (纸本)9783031143427

The proceedings contain 40 papers. The special focus in this conference is on Database and Expert Systems Applications. The topics include: Synthetic Data in Automatic Number Plate Recognition;An Untold Tale of Scientific Collaboration: SCCH and AC 2 T;on the Creation and Maintenance of a Documentation Generator in an Applied Research Context;towards the Digitalization of Additive Manufacturing;Twenty Years of Successful Translational Research: A Case Study of Three COMET Centers;data Integration, Management, and Quality: From Basic Research to Industrial Application;building a YouTube Channel for Science Communication;introduction of Visual Regression Testing in Collaboration Between Industry and Academia;vibration Analysis for Rotatory Elements Wear Detection in Paper Mill Machine;applying Time-Inhomogeneous Markov Chains to Math Performance Rating;introducing Data Science Techniques into a Company Producing Electrical Appliances;a Technology Transfer Portal to Promote Industry-Academia Collaboration in South-Tyrol;fast and Automatic Object Registration for Human-Robot Collaboration in Industrial Manufacturing;sending Spies as Insurance Against Bitcoin Pool Mining Block Withholding Attacks;risks in DeFi-Lending Protocols - An Exploratory Categorization and Analysis of Interest Rate Differences;battling the Bullwhip Effect with Cryptography;Reporting of Cross-Border Transactions for Tax Purposes via DLT;securing File System Integrity and Version History Via Directory Merkle Trees and Blockchains;taxation of Blockchain Staking Rewards: Propositions based on a Comparative Legal Analysis;comparison Framework for Blockchain Interoperability Implementations;A Comparative Analysis of Anomaly Detection Methods for Predictive Maintenance in SME;towards Strategies for Secure Data Transfer of IoT Devices with Limited Resources;application of Validation Obligations to Security Concerns;mode Switching for Secure Edge Devices;a Lifecycle Framework for Semantic Web Machine Learn

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Partially-Observable Security Games for Attack-Defence Analysis in software Systems 22nd

Partially-Observable Security Games for Attack-Defence Anal...

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22nd International conference on software engineering and Formal Methods, SEFM 2024

作者： Khakpour, Narges Parker, David Newcastle University NewcastleNE1 7RU United Kingdom University of Oxford OxfordOX1 2JD United Kingdom

ISBN: (纸本)9783031773815

Given the presence of residual vulnerabilities in software systems, it is critical to apply suitable countermeasures in order to minimize the likelihood of an attack. In this paper we propose a formal approach, based on stochastic games, to threat analysis and synthesis of defence strategies for protecting systems with vulnerabilities. Crucially, we support analysis under partial observation, where some of the attacker’s activities are unobservable or undetectable by the defender. We construct a one-sided partially observable security game and transform it into a perfect game, for which formal analysis is feasible. We prove that this transformation is sound for a sub-class of security games and a subset of objectives specified in the temporal logic rPATL. We implement our approach and evaluate it by applying it to a real-life example. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Stochastic systems

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Modified Term Frequency and Inverse Document Frequency with Optimized Deep Learning Algorithm based Fake News Detection 1

Modified Term Frequency and Inverse Document Frequency with ...

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1st International conference on Intelligent Systems and Computational Networks, ICISCN 2025

作者： Rana Veer Samara Sihman Bharattej, R. Prashanth, V. Alabdeli, Haideer Thottan, Sunaina Sangeet Ananthi, S. Saint Leo University Department of Computer Science FL United States Nitte Meenakshi Institute of Technology Department of Electrical and Electronics Engineering Bengaluru India The Islamic University of Al Diwaniyah College of Technical Engineering Department of Computers Techniques Engineering Al Diwaniyah Iraq Dhanalakshmi Srinivasan College of Engineering and Technology Department of Artificial Intelligence and Data Science Mamallapuram India New Prince Shri Bhavani College of Engineering and Technology Department of Electrical and Electronics Engineering Chennai India

ISBN: (纸本)9798331529246

The identification of real and fake news has become difficult task in the recent years due to more similar feature between them. As the issues of fake news are leading the miscommunication to the reads, various automated software has been introduced for the detection of fake news. The existing models tried to advance the identification of the fake new but failed to reach the expected outcomes due to overfitting issues and limited feature handling abilities. To overcome the existing issues the Latent Dirichlet Allocation based Term Frequency and Inverse Document Frequency with Brown-bear Optimization Algorithm-Bidirectional Long Short-Term Memory (LDA based TF-IDF with BOA-BiLSTM) is developed for the detection of fake news. The news data is collected and get cleaned by tokenization and normalization techniques. Then the LDA based TF-IDF model is used for the extraction of significant details of the news text data. Further the BOA-BiLSTM algorithm is used for the detection of fake news. The developed LDA based TF-IDF with BOA-BiLSTM algorithm has exhibited the better result having accuracy of 0.9489 and recall of 0.9012 for ISOT fake news dataset compared to the existing knowledge Graphs for multi-domain fake news detection (KG-MFEND) model. © 2025 IEEE.

关键词： Deep learning

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Thermal Model of a Soldering Iron 33rd

Thermal Model of a Soldering Iron

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33rd International conference on Organization and Technology of Maintenance, OTO 2024

作者： Barić, Tomislav Glavaš, Hrvoje Dubravac, Anto Faculty of Electrical Engineering Computer Science and Information Technology Osijek University of Osijek Osijek Croatia

ISBN: (纸本)9783031805967

Soldering irons are a hand tool that is indispensable in the process of making small series of electronic devices. Soldering irons have evolved from very simple devices without temperature control to devices with complex temperature control. The implementation of temperature control is based on the knowledge of the thermal models of the soldering iron. Thermal models of soldering irons are based either on the theory of thermal fields or on the theory of equivalent Kirchhoff thermal circuits. The theory of thermal fields is applied for very accurate modeling. In doing so, the finite element method (FEM) is used. For the above, it is necessary to use software packages based on FEM. Unlike FEM-based modeling, thermal circuit modeling does not require specialized software tools. It is also possible to derive analytical expressions that describe the thermal process of the soldering iron. In this paper, a thermal model of a soldering iron based on equivalent Kirchhoff thermal circuits is presented. Analytical expressions were derived to describe the thermal transient. The validity of the theoretical model is supported by measurement. Measurements were carried out on two soldering irons from different manufacturers. The measurement results were analyzed. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Hand tools

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