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检索条件"任意字段=19th International Conference on Software Engineering and Knowledge Engineering"

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Towards Robust Detection of Open Source software Supply Chain Poisoning Attacks in Industry Environments 24

Towards Robust Detection of Open Source Software Supply Chai...

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39th ACM/IEEE international conference on Automated software engineering (ASE)

作者： Zheng, Xinyi Wei, Chen Wang, Shenao Zhao, Yanjie Gao, Peiming Zhang, Yuanchao Wang, Kailong Wang, Haoyu Huazhong Univ Sci & Technol Wuhan Peoples R China Ant Grp MYbank Hangzhou Peoples R China Huazhong Univ Sci & Technol Hubei Engn Res Ctr Big Data Secur Sch Cyber Sci & Engn Hubei Key Lab Distributed Syst Secur Wuhan Peoples R China Wuhan Jinyinhu Lab Wuhan Peoples R China

ISBN: (数字)9798400712487

ISBN: (纸本)9798400712487

the exponential growth of open-source package ecosystems, particularly NPM and PyPI, has led to an alarming increase in software supply chain poisoning attacks. Existing static analysis methods struggle with high false positive rates and are easily thwarted by obfuscation and dynamic code execution techniques. While dynamic analysis approaches offer improvements, they often suffer from capturing non-package behaviors and employing simplistic testing strategies that fail to trigger sophisticated malicious behaviors. To address these challenges, we present OSCAR, a robust dynamic code poisoning detection pipeline for NPM and PyPI ecosystems. OSCAR fully executes packages in a sandbox environment, employs fuzz testing on exported functions and classes, and implements aspect-based behavior monitoring with tailored API hook points. We evaluate OSCAR against six existing tools using a comprehensive benchmark dataset of real-world malicious and benign packages. OSCAR achieves an F1 score of 0.95 in NPM and 0.91 in PyPI, confirming that OSCAR is as effective as the current state-of-the-art technologies. Furthermore, for benign packages exhibiting characteristics typical of malicious packages, OSCAR reduces the false positive rate by an average of 32.06% in NPM (from 34.63% to 2.57%) and 39.87% in PyPI (from 41.10% to 1.23%), compared to other tools, significantly reducing the workload of manual reviews in real-world deployments. In cooperation with Ant Group, a leading financial technology company, we have deployed OSCAR on its NPM and PyPI mirrors since January 2023, identifying 10,404 malicious NPM packages and 1,235 malicious PyPI packages over 18 months. this work not only bridges the gap between academic research and industrial application in code poisoning detection but also provides a robust and practical solution that has been thoroughly tested in a real-world industrial setting.

关键词： OSS Supply Chain Malicious Code Poisoning PyPI NPM

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A Novel Deep Federated Learning-Based and Profit-Driven Service Caching Method 19th

A Novel Deep Federated Learning-Based and Profit-Driven Ser...

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19th EAI international conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2023

作者： Ouyang, Zhaobin Xia, Yunni Peng, Qinglan Li, Yin Chen, Peng Wang, Xu College of Computer Science Chongqing University Chongqing China School of Artificial Intelligence Henan University Zhengzhou China Guangzhou Institute of Software Application Technology Guangzhou China School of Computer and Software Engineering Xihua University Chengdu China College of Mechanical and Vehicle Engineering Chongqing University Chongqing China

ISBN: (纸本)9783031545306

Service caching is an emerging solution to addressing massive service request in a distributed environment for supporting rapidly growing services and applications. With the explosive increases in global mobile data traffic, service caching over the edge computing architecture, Mobile edge computing (MEC), emerges for alleviating traffic congestion as well as for optimizing the efficiency of task processing. In this manuscript, we propose a novel profit-driven service caching method based on a federated learning model for service prediction and a deep reinforcement learning mode for yielding caching decisions (FPDRD) in an edge environment. the proposed method is temporal service popularity and user preference-aware. It aims to ensure quality of service (QoS) of delivery of cached service while maximizing the profits of network service providers. Experimental results clearly demonstrate that the FPDRD method outperforms traditional methods in multiple aspects. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Traffic congestion

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A Novel Method for Semantic Segmentation on Lidar Point Clouds 19th

A Novel Method for Semantic Segmentation on Lidar Point Clou...

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19th EAI international conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2023

作者： Wang, Fei Wan, Liangtian Zhu, Yan Sun, Lu Zhao, Xiaowei Zheng, Jianbo Wang, Xianpeng Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province School of Software Dalian University of Technology Dalian116620 China Artificial Intelligence Research Institute Shenzhen MSU-BIT University Guangdong Shenzhen518172 China Guangdong-Hong Kong-Macao Joint Laboratory for Emotional Intelligence and Pervasive Computing Shenzhen MSU-BIT University Guangdong Shenzhen518172 China Department of Communication Engineering Institute of Information Science Technology Dalian Maritime University Dalian116026 China School of Information and Communication Engineering Hainan University Haikou570228 China

ISBN: (纸本)9783031651250

Autonomous driving relies on multiple sensors, such as lidar and cameras, to perceive the surrounding environment and the vehicle’s own position. Among them, lidar point cloud segmentation is a crucial and challenging task for 3D scene understanding. In this paper, we propose a novel deep learning method RPNet for lidar point cloud segmentation that combines range image-based segmentation and point based segmentation. Our method extracts point cloud features from range images and predicts 3D point cloud labels from point clouds. the segmentation results of both branches are fused to improve accuracy. We evaluate our method on the Semantic KITTI dataset and show that it outperforms other fusion algorithms in terms of effectiveness and robustness. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Semantic Segmentation

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Modern Avionics and ATM Technologies Implementation Gap Analysis Latvian and Georgian Case Studies 19

Modern Avionics and ATM Technologies Implementation Gap Anal...

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19th international Scientific conference on New Trends in Aviation Development, NTAD 2024

作者： Tikanashvili, Nika Lacane, Monta Aleksandra Engineering Faculty Georgian Aviation University Tbilisi Georgia Engineering Faculty Transport and Telecommunication Institute Riga Latvia

ISBN: (纸本)9798331527747

According to Eurocontrol’s latest research, by year 2035 airports across Europe are expected to handle 14.4 million flights and 1.4 billion passengers. However, current Air Traffic Management (ATM) system is not adequately prepared for such volume of air traffic, and as a result it might lead to a congested airspace, causing even more delays on ground and in the air. this situation is economically inefficient and has a significant adverse impact on environment due to carbon emission and noise pollution. For this reason, continuous development and modernization of the ATM system is necessary. the Global Air Navigation Plan (GANP) is a flexible engineering-technical methodological document that allows all international Civil Aviation Organization (ICAO) member states to advance their air navigation capacities based on their specific operational requirements. One of the most problematic parts for successful implementation of the GANP is an innovative ATM, modern avionics technologies and effective interrelation between systems and users, considering ergonomic factors. A system "operator-machine-environment" depends on human performance, as well as on a level of automation of systems involved. Paper focuses on Latvian and Georgian case studies, as in both counties ATM technologies and level of automation continuously grows and becomes more advanced. the development of modern aircraft avionics systems requires new skills of aviation professionals that is why training becomes even more challenging and important. As a result of the research a methodological approach and general model for effective interconnection of modern avionics and innovative ATM technologies is proposed, taking into consideration human factors. © 2024 IEEE.

关键词： Air navigation

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DIKW Upward Enabling Manufacturing from Digitalization in Industry 3.0 to Wisdom in Industry 4.0 23

DIKW Upward Enabling Manufacturing from Digitalization in In...

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23rd IEEE international conference on High Performance Computing and Communications, 7th IEEE international conference on Data Science and Systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Yao, Xifan Wang, Kesai Ma, Nanfeng Mai, Haifeng Huang, Yansong Yang, Erfu School of Mechanical and Automotive Engineering South China University of Technology Guangzhou China University of Strathclyde Department of Design Manufacturing and Engineering Management GlasgowG1 1XJ United Kingdom

ISBN: (纸本)9781665494571

the upward progress in Data-Information-knowledge-Wisdom (DIKW) has advanced manufacturing from digitalization to networking in Industry 3.0, and to intelligence and even wisdom in Industry 4.0, which reveals the inevitable trend of manufacturing evolution from 'Computer Plus' to 'Internet Plus' to 'knowledge Plus' and towards 'Wisdom Plus'. Wisdom manufacturing is the further development of intelligent/smart manufacturing in the form of social-cyber-physical system by integrating Internet of things, Internet of Services, Internet by and for People, and Internet of Contents and knowledge in manufacturing as a whole. © 2021 IEEE.

关键词： Industries Technological innovation Sociotechnical systems Smart cities Production Manufacturing Fourth Industrial Revolution

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Search-Based software Testing Driven by Bioinspired Algorithms: A Systematic Literature Mapping 12

Search-Based Software Testing Driven by Bioinspired Algorith...

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12th international conference in software engineering Research and Innovation, CONISOFT 2024

作者： Hernandez-Suarez, Joshua E. Jimenez-Jimenez, Mario A. Dominguez-Isidro, Saul Ocharan-Hernandez, Jorge Octavio Universidad Veracruzana Facultad de Estadistíca e Informática Xalapa Mexico

ISBN: (纸本)9798331532116

Bioinspired algorithms have gained relevance in Search-Based software Testing (SBST) mainly because they can find multiple solutions to difficult-to-solve problems. Exploring the usage trends and elements of its implementation is necessary for software engineering since it allows for understanding the area's current state and proposing guidelines for innovation. We proposed a Systematic Literature Mapping to analyze the canonical bioinspired algorithms used in SBST. During the mapping conduction, 60 studies were analyzed, in which bio-inspired algorithms were used in different software testing activities, such as test data generation, test case generation, test case prioritization, and others. the practical implications of our research are significant. the most commonly applied bioinspired algorithms in these activities are the Genetic Algorithm, Particle Swarm Optimization, and Ant Colony Optimization. Concerning problem types, most of these algorithms are focused on single-objective, with or without constraints, and, to a lesser extent, multi-objective and phased problems. According to the results, SBST driven by bio-inspired algorithms favors variables such as execution time and computational cost. Code coverage is usually used as a performance metric to evaluate its effectiveness. the application of canonical bioinspired algorithms mainly seeks to solve single-objective problems. © 2024 IEEE.

关键词： Genetic algorithms

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Large Language Model Assisted software engineering: Prospects, Challenges, and a Case Study 1st

Large Language Model Assisted Software Engineering: Prospect...

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1st international conference on Bridging the Gap between AI and Reality, AISoLA 2023

作者： Belzner, Lenz Gabor, thomas Wirsing, Martin TH Ingolstadt Ingolstadt Germany Ludwig-Maximilians-Universität München München Germany

ISBN: (纸本)9783031460012

Large language models such as OpenAI’s GPT and Google’s Bard offer new opportunities for supporting software engineering processes. Large language model assisted software engineering promises to support developers in a conversational way with expert knowledge over the whole software lifecycle. Current applications range from requirements extraction, ambiguity resolution, code and test case generation, code review and translation to verification and repair of software vulnerabilities. In this paper we present our position on the potential benefits and challenges associated with the adoption of language models in software engineering. In particular, we focus on the possible applications of large language models for requirements engineering, system design, code and test generation, code quality reviews, and software process management. We also give a short review of the state-of-the-art of large language model support for software construction and illustrate our position by a case study on the object-oriented development of a simple "search and rescue" scenario. © 2024, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Bard challenges design GPT large language model LLM-assisted requirements software engineering state-of-the-art validation verification

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knowledge Graph Completion Method Based on Using Multi-Hop Reasoning 10

Knowledge Graph Completion Method Based on Using Multi-Hop R...

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10th international conference on Information Technology and Nanotechnology, ITNT 2024

作者： Golovin, Aleksei Zhukova, Nataly Kulikov, Igor Saint Petersburg Electrotechnical University 'LETI' Department Of Software Engineering And Computer Applications Saint-Petersburg Russia Saint-Petersburg Russia

ISBN: (纸本)9798350372939

In this paper, the method for knowledge graph completion based on using multi-hop reasoning is proposed. the relevance of the problem is due to the widespread use of large sparse knowledge graphs with incomplete data. Within the research, the method for restoring the structure of a knowledge graph using sequence-to-sequence multi-hop reasoning, based on the transformer architecture, is proposed. To evaluate the effectiveness of the proposed method, the study of its properties was carried out and the results were compared with the results of the existing methods used for predicting relations in the knowledge graphs. the proposed solution almost achieves the same results as methods based on embeddings. the evidential paths generated by the proposed method ensure the interpretability of the results. Our method does not rely on existing relations to create an evidential path and has the flexibility to restore missing relations in the path. © 2024 IEEE.

关键词： knowledge graph

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Considering Modelling Techniques in HCI engineering Education 19th

Considering Modelling Techniques in HCI Engineering Educatio...

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19th international-Federation-for-Information-Processing-Technical-Committee-13 (IFIP TC13) international conference on Human-Computer Interaction (INTERACT)

作者： Martinie, Celia Univ Toulouse III Paul Sabatier ICS IRIT Toulouse France

ISBN: (纸本)9783031616877;9783031616884

Teaching HCI engineering focuses on preparing students for the design, development, and implementation of usable and effective interactive computing systems. Amongst the engineering approaches that can be taught for that purpose, model-based techniques are interesting because they match the industry's needs for techniques to develop usable and reliable interactive computing systems. Beyond this concrete motivation for teaching students how to build and use models, models are also interesting because they help students to reason and understand problems, and can even make them better at identifying and solving problems. However, students do not always understand the benefits of using modelling techniques. they may find them abstract, cumbersome, and worthless. the purpose of this paper is to discuss the importance of teaching modelling for HCI engineering, especially in a context where new technologies and new methodology trends are continuously emerging. this paper proposes several strategies to increase the involvement of students with modelling techniques.

关键词： HCI education engineering Interactive Computing Systems Modelling techniques

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People Make Mistakes – A Survey of Common Causes of software Defects 19th

People Make Mistakes – A Survey of Common Causes of Softwar...

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19th EAI international conference on Computer Science and Education in Computer Science, CSECS 2023

作者： Elentukh, Alex Metropolitan College of Boston University 1010 Commonwealth Ave BostonMA02215 United States

ISBN: (纸本)9783031446672

software projects spend a significant effort on fixing defects. In fact, some ‘successful’ companies are unable to develop new features, since they devote all resources on supporting the multitude of customers and addressing the flow of incoming issues. this justifies the adoption of a well-defined testing and bug fixing process that is tailored for the organizational specifics. the effectiveness of such process drives the effectiveness of the whole organization. Our paper surveys the root causes (RCA/ARCA - Root Cause Analysis and ODC - Orthogonal Defect Classification) of common software defects and makes recommendations based on actual examples. In a context of a public university, the key recommendation is to assure that various angles of a defect prevention and bug fixing processes are explored, as part of a standard computer science curriculum. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering 2023.

关键词： Defects

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