检索结果-内蒙古大学图书馆

A Systematic Literature Review on Automated software Vulnerability Detection Using Machine Learning

ACM computing SURVEYS 2025年第3期57卷 1-36页

作者： Harzevili, Nima shiri Belle, Alvine boaye Wang, Junjie Wang, Song Jiang, Zhen ming (jack) Nagappan, Nachiappan York Univ Elect Engn & Comp Sci Keele Campus Toronto ON Canada York Univ Elect Engn & Comp Sci Toronto ON Canada Chinese Acad Sci Inst Software Beijing Peoples R China Meta Seattle WA USA

In recent years, numerous Machine Learning (ML) models, including Deep Learning (DL) and classic ML models, have been developed to detect software vulnerabilities. However, there is a notable lack of comprehensive and systematic surveys that summarize, classify, and analyze the applications of these ML models in software vulnerability detection. This absence may lead to critical research areas being overlooked or underrepresented, resulting in a skewed understanding of the current state of the art in software vulnerability detection. To close this gap, we propose a comprehensive and systematic literature review that characterizes the different properties of ML-based software vulnerability detection systems using six major Research Questions (RQs). Using a custom web scraper, our systematic approach involves extracting a set of studies from four widely used online digital libraries: ACM Digital Library, IEEE Xplore, scienceDirect, and Google Scholar. We manually analyzed the extracted studies to filter out irrelevant work unrelated to software vulnerability detection, followed by creating taxonomies and addressing RQs. Our analysis indicates a significant upward trend in applying ML techniques for software vulnerability detection over the past few years, with many studies published in recent years. Prominent conference venues include the international conference on software engineering (ICSE), the international Symposium on software Reliability engineering (ISSRE), the Mining software Repositories (MSR) conference, and the ACM international conference on the Foundations of software engineering (FSE), whereas Information and software Technology (IST), Computers & Security (C&S), and Journal of systems and software (JSS) are the leading journal venues. Our results reveal that 39.1% of the subject studies use hybrid sources, whereas 37.6% of the subject studies utilize benchmark data for software vulnerability detection. Code-based data are the most commonly used data t

关键词： Source code software security software vulnerability detection software bug detection machine learning deep learning

来源：评论

学校读者我要写书评

暂无评论

Intelligent Tutoring systems: 8th international conference, ITS 2006, Jhongli, Taiwan, June 26-30, 2006 Proceedings (Lecture Notes in Computer science / Programming and software engineering) 1

引用

丛书名： Lecture Notes in Computer science 4053 : Programming and software engineering

2006年

作者： Edited by Mitsuru Ikeda, Kevin Ashlay, Tak-Wai Chan

来源：评论

学校读者我要写书评

暂无评论

Bibliometric and Content Analysis of Large Language Models Research in software engineering: The Potential and Limitation in software engineering

引用

international Journal of Advanced Computer science and Applications 2025年第4期16卷 344-356页

作者： Damayanti, Annisa Dwi Gani, Hamdan Zhipeng, Feng Gani, Helmy Zuhriyah, Sitti Nurani Djabir, St. Nurhayati Wardani, Nur Ilmiyanti Department of Environmental Engineering Faculty of Engineering Hasanuddin University Makassar Indonesia Department of Machinery Automation System ATI Makassar Polytechnic Makassar Indonesia School of Culture Creativity and Media Hangzhou Normal University Zhejiang Hangzhou China Department of Industrial Hygiene Faculty of Public Health Occupational Health and Safety Makassar College of Health Sciences Indonesia Department of Computer System Universitas Handayani Makassar Makassar Indonesia Department of Information Systems and Technology Institut Teknologi dan Bisnis Nobel Indonesia Jl. Sultan Alauddin No.212 Makassar90221 Indonesia Department of Informatics Engineering Universitas Handayani Makassar Makassar Indonesia

Large Language Models (LLM) is a type of artificial neural network that excels at language-related tasks. The advantages and disadvantages of using LLM in software engineering are still being debated, but it is a tool that can be utilized in software engineering. This study aimed to analyze LLM studies in software engineering using bibliometric and content analysis. The study data were retrieved from Web of science and Scopus. The data were analyzed using two popular bibliometric approaches: bibliometric and content analysis. VOS Viewer and Bibliometrix software were used to conduct the bibliometric analysis. The bibliometric analysis was performed using science mapping and performance analysis approaches. Various bibliometric data, including the most frequently referenced publications, journals, and nations, were evaluated and presented. Then, the synthetic knowledge method was utilized for content analysis. This study examined 235 papers, with 836 authors contributing. The publications were published in 123 different journals. The average number of citations per publication is 1.44. Most publications were published in Proceedings international conference on software engineering and ACM international conference Proceeding Series, with China and the United States emerging as the leading countries. It was discovered that international collaboration on the issue was inadequate. The most often used keywords in the publications were "software design," "code (symbols)," and "code generation." Following the content analysis, three themes emerged: 1) Integration of LLM into software engineering education, 2) application of LLM in software engineering, and 3) potential and limitation of LLM in software engineering. The results of this study are expected to provide researchers and academics with insights into the current state of LLM in software engineering research, allowing them to develop future conclusions. © (2025), (science and Information Organization). All Rights Res

关键词： software design

来源：评论

学校读者我要写书评

暂无评论

25th international conference on Internet computing and IoT, ICOMP 2024, and 22nd international conference on Embedded systems, Cyber-physical systems, and Applications, ESCS 2024, held as part of the World Congress in Computer science, Computer engineering and Applied computing, CSCE 2024

25th International Conference on Internet Computing and IoT,...

引用

25th international conference on Internet computing and IoT, ICOMP 2024, and 22nd international conference on Embedded systems, Cyber-physical systems, and Applications, ESCS 2024, held as part of the World Congress in Computer science, Computer engineering and Applied computing, CSCE 2024

ISBN: (纸本)9783031859229

The proceedings contain 33 papers. The special focus in this conference is on Internet computing and IoT. The topics include: Malware Detection in the IoT Home Network;IoT-Based Analysis of Environmental and Motion Data for Comfort and Energy Conservation in Optimizing HVAC systems;improving Critical Controls Using IoT and Computer Vision;A Data-Driven Driving Under the Influence (DUI) Detection, Notification and Prevention System Using Artificial Intelligence and Internet-Of-Things (IoT);understanding User Interactions with IoT Process Models: A Demographic Perspective;Advancing IoT Process Modeling: A Comparative Evaluation of BPMNE4IoT and Traditional BPMN on User-Friendliness, Effectiveness, and Workload;Threat Detection Using MLP for IoT Network;harnessing Social Robotics and the Internet of Things to Reduce the Risk of Older Adults Developing Hypothermia and Dehydration;re/Imagining Smart Home Automation Framework in the Era of 6G-Enabled Smart Cities;smart Roadway Monitoring: Pothole Detection and Mapping via Google Street View;Energy-Efficiency Modeling for AI Applications on Edge computing;optimizing Wireless Sensor Network Node Placement Using Bacterial Foraging Optimization;The Vital Role of Small and Marginal Farmer in Future of Our Climate: Democratization of Machine Learning, Artificial Intelligence, and Dairy Cow Necklace Sensors in Achieving the UN Climate Change Goals (COP21) and the Paris Agreement;autonomous Driving Prototype with Raspberry Pi by Using Image Processing Technology;towards Implementation of Privacy-Preserving Federated Learning Aggregation Using Multi-key Homomorphic Encryption;advancing Nursing Education Through Virtual Reality Training: A Revolutionary Approach to Ensuring Patient Safety;multiDrone Simulator An Open Source Multi-plataform Tool to Use in Tests of Optimized Flight of Group of Drones;Revolutionizing Multiplayer Gaming: A Deep Dive into VisionXO, a 3D Multiplayer Tic-Tac-Toe Game.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Tool for Quantum-Classical software Lifecycle 12th

Tool for Quantum-Classical Software Lifecycle

引用

12th conference on Cloud computing, Big Data and Emerging Topics

作者： Parraga Aranda, Jesus Perez del Castillo, Ricardo Piattini, Mario Univ Pontificia Salamanca Salamanca Spain Univ Castilla la Mancha Toledo Spain

ISBN: (纸本)9783031708060;9783031708077

With the growing diffusion of quantum computing technology and the increasingly promising applications derived from it, the relevance of developing specific software for these systems is gaining significant momentum. This surge is due to the need to design and produce quantum software that meets performance and functional requirements but also follows the well-known good practices and rigorous methodologies inherent in quantum software engineering. In this context, one of the main challenges facing the development of hybrid (quantum-classical) systems is the effective management of the lifecycle of this new type of software, whose nature differs from traditional systems. The proposed research attempts to comprehensively address the lifecycle management of hybrid software, through the design and development of a specific support tool. To achieve this goal, the ICSM (Integrated software Cycle Management) model, which is a consolidated framework for the lifecycle management of traditional software, will be taken as a starting point. This model will be carefully adapted to meet the unique needs and challenges inherent in hybrid software, thus ensuring that the development, maintenance, and updating practices of this type of software are as robust and efficient as those applied in the realm of conventional software. Through this adaptation, the aim is not only to improve the quality of the developed hybrid software but also make developers easier to adopt the innovative and complex quantum software paradigm.

关键词： Quantum computing Quantum software engineering Hybrid software software Lifecycle ICSM

来源：评论

学校读者我要写书评

暂无评论

Reliability-Aware Personalized Deployment of Approximate Computation IoT Applications in Serverless Mobile Edge computing

引用

IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND systems 2025年第2期44卷 430-443页

作者： Cao, Kun Chen, Mingsong Karnouskos, Stamatis Hu, Shiyan Jinan Univ Coll Informat Sci & Technol Guangzhou 510632 Peoples R China East China Normal Univ Engn Res Ctr Software Hardware Codesign Technol & Minist Educ Shanghai 200062 Peoples R China SAP D-69190 Walldorf Germany Univ Southampton Sch Elect & Comp Sci Southampton SO17 1BJ England

Over the past few years, the integration of mobile edge computing (MEC) and serverless computing, known as serverless MEC (SMEC), has garnered considerable attention. Despite abundant existing works on SMEC exploration, there remains an unaddressed gap in guaranteeing dependable application outputs due to ignoring the threat of both soft and bit errors on SMEC infrastructures. Furthermore, existing works fall short of accommodating the personalized requirements and approximate computation of Internet of Things (IoT) applications, thereby resulting in holistic quality-of-service (QoS) degradation of SMEC systems typically provisioned by limited edge resources. In this article, we investigate the reliability-aware personalized deployment of approximate computation IoT applications for QoS maximization in SMEC environments. To this end, we propose a hybrid methodology composed of offline and online optimization phases. At the offline phase, a decomposition-based function placement method is devised to accomplish function-to-server mapping by integrating convex optimization, cross-entropy method, and incremental control techniques. At the online phase, a lightweight reinforcement learning scheme based on proximal policy optimization (PPO) is developed to handle the inherent dynamicity of IoT applications. We also build a simulation platform upon the real-world base station distribution in Shanghai Telecom and the practical cluster trace in the Alibaba open program. Evaluations demonstrate that our hybrid approach boosts the holistic QoS by 63.9% compared with the state-of-the-art peer algorithms.

关键词： Approximate computation personalized Internet of Things (IoT) deployment Reliability serverless mobile edge computing (SMEC) Approximate computation personalized Internet of Things (IoT) deployment reliability serverless mobile edge computing (SMEC)

来源：评论

学校读者我要写书评

暂无评论

Design of a mobile fire alarm system capable of real-time alarm 3

Design of a mobile fire alarm system capable of real-time al...

引用

3rd international conference on Electrical, Electronics, and Information engineering, EEIE 2024

作者： Feng, Wenhui He, Qing Wang, Tingli Wang, Shixin School of Instrument Science and Opto-Electronics Engineering Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781510688179

As the public pays more and more attention to fire, the importance of fire prevention is becoming increasingly prominent. This paper focuses on the realization of fire alarm software that can alarm in real time. Through in-depth research on sensor technology, cloud computing technology, mobile application development framework and real-time data processing algorithm, the accurate monitoring of smoke concentration and timely alarm function are realized. Through cloud server communication technology, the software can be stably connected with the supporting hardware equipment to complete the alarm notification in real time. At the same time, by continuously querying the server data at a frequency of once per second, it ensures that the alarm notification is issued to the user as soon as the server alarm data is updated. In addition, the software has a simple user interface, which is convenient for users to set up and view historical data, and fully considers the convenience of use. After rigorous testing, this software has excellent performance in accuracy, real-time and stability, providing a convenient and efficient solution for improving fire prevention capabilities, and has broad market prospects for its application in fire protection. © The Authors.

关键词： Fire alarm systems

来源：评论

学校读者我要写书评

暂无评论

Revision of a Smart Factory software Architecture from Monolith to Microservices 2nd

Revision of a Smart Factory Software Architecture from Monol...

引用

28th international conference on Enterprise Design Operations and computing

作者： Seiger, Ronny Malburg, Lukas Univ St Gallen Inst Comp Sci CH-9000 St Gallen Switzerland Univ Trier Artificial Intelligence & Intelligent Informat Sy D-54296 Trier Germany Branch Univ Trier German Res Ctr Artificial Intelligence DFKI Behringstr 21 D-54296 Trier Germany

ISBN: (纸本)9783031790584;9783031790591

software architecture plays an important role in the development of modern, complex software systems as it influences a system's quality attributes and ability to grow with future demand. Designing the software architecture of cyber-physical systems (CPS) becomes even more challenging due to their capability of directly influencing the physical world and thus introducing new non-functional requirements related to fault-tolerance, safety, and resource scarcity. Existing research focuses on systems engineering to achieve the vertical integration of CPS with an organization's information systems and processes, but not on software architecture to horizontally extend existing systems with new CPS. In this report we describe the process of revising an existing monolithic software architecture for a smart factory towards a microservices-based architecture to meet these new requirements and prepare the factory to be extended with new CPS. For the revision of the existing architecture, we provide an analysis of its code base before and after changes, a description of the refactoring process, and discuss relevant new non-functional requirements and architecture options. We elaborate on the architectural decisions favoring microservices and analyze the new architecture regarding improved quality attributes to evaluate the system.

关键词： Cyber-physical systems software Architecture Internet of Things Microservices Industry 4.0

来源：评论

学校读者我要写书评

暂无评论

Boosting software Quality: A Machine Learning Technique for Predicting Defects 6

Boosting Software Quality: A Machine Learning Technique for ...

引用

6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Akilan Daniel, E. Alwin Infant, P. Jainish, G.R. Panimalar Engineering College Chennai City Campus Chennai India Department of Computer Science and Engineering Panimalar Engineering College Chennai India Loyola ICAM College of Engineering & Technology Chennai India

ISBN: (纸本)9798331522667

In order to increase automation, strengthen decision- making, and improve efficiency while reducing costs and maintaining precision, the development of intelligent machinery is becoming more and more dependent on the integration of data, embedded software, and modern technologies. Reliability of embedded software becomes essential for guaranteeing high system performance and an improved user experience as technology and hardware merge to build smart devices. This work explores methods to quantify software reliability, which measures the likelihood of residual failures in a system. The objective is to build a statistical relationship between quality parameters and product or process metrics through the analysis of software metrics produced from development data. These indicators aid in evaluating the software's dependability and performance, enabling developers to spot and fix possible problems early on. Using pattern recognition algorithms to pinpoint software's fault-prone areas is a crucial strategy for enhancing software reliability prediction. These algorithms enable developers to focus attention on software areas that have a higher likelihood of failure by identifying patterns in the product's code or structure that suggest increased risk. In summary, these methods focus on enhancing the reliability of intelligent machines by equipping developers with advanced tools to reduce defects, improve dependability, and ensure that smart systems perform optimally. This approach aligns with modern trends in using machine learning and data-driven models to tackle complex technological challenges. © 2025 IEEE.

关键词： Data reliability

来源：评论

学校读者我要写书评

暂无评论

Design and Development of IoT Smart Driving Protocol for Unmanned Ground Vehicles 6

Design and Development of IoT Smart Driving Protocol for Unm...

引用

6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Seelam, Santhosh Kumar Nagakishore Bhavanam, S. Midasala, Vasujadevi Reddy, Edara Sreenivasa Department of Computer Science and Engineering University College of Engineering and Technology Acharya Nagarjuna University Andhra Pradesh Guntur India Jabalpur Madhya Pradesh Barela India Department of Computer Science and Engineering VIT-AP University Andhra Pradesh Amaravati India

ISBN: (纸本)9798331522667

UGVs have enormous potential in industries such as defense, agriculture, and autonomous transportation. Efficiency and effectiveness can be achieved by UGVs through the sophistication of their control systems, mainly with regard to navigation and decision-making. In this study, a new IoT-based smart direction control system is proposed for UGVs. The system presented herein integrates state-of-the-art sensor fusion techniques against the backdrop of a robust and adaptive communication framework for enhanced navigation accuracy and reduced latency, with the overall goal of improving system efficiency. Equipped with GPS, IMU, and LiDAR sensors, our system provides accurate environmental perception and real-time adaptability to various terrains. The heart of this device is a high-performance, military-grade microcontroller, which ensures the reliability and handling of numerous data streams simultaneously with minimal latency. On the software side, modular design makes use of edge computing and machine learning algorithms to facilitate adaptive control and real-time decision-making. The performance was verified by rigorous testing in simulated environments and real-world field trials. The results show an improvement in the navigation accuracy and system responsiveness compared to previous solutions. A comparative deep analysis shows the superiority of our approach to hardware design, software integration, and prototype testing. © 2025 IEEE.

关键词： Adaptive control systems

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：